Probabilistic Graphical Models For Computer Vision

Probabilistic Graphical Models For Computer Vision Book PDF
✏Book Title : Probabilistic Graphical Models for Computer Vision
✏Author : Qiang Ji
✏Publisher : Academic Press
✏Release Date : 2019-11
✏Pages : 294
✏ISBN : 9780128034675
✏Available Language : English, Spanish, And French

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✏Probabilistic Graphical Models for Computer Vision Book Summary : Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Building Tractable Probabilistic Graphical Models For Computer Vision Problems Book PDF
✏Book Title : Building Tractable Probabilistic Graphical Models for Computer Vision Problems
✏Author : Xiangyang Lan
✏Publisher :
✏Release Date : 2007
✏Pages : 198
✏ISBN : CORNELL:31924108362496
✏Available Language : English, Spanish, And French

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✏Building Tractable Probabilistic Graphical Models for Computer Vision Problems Book Summary : Throughout this dissertation, we investigate the trade-off between model expressiveness and inference complexity in the context of several computer vision problems, including human pose recognition from a single image, articulated object detection and tracking, and image denoising. We construct graphical models with different structural complexity for these problems, and show experimental results to evaluate and compare their performance.

Probabilistic Graphical Models Book PDF
✏Book Title : Probabilistic Graphical Models
✏Author : Daphne Koller
✏Publisher : MIT Press
✏Release Date : 2009
✏Pages : 1231
✏ISBN : 9780262013192
✏Available Language : English, Spanish, And French

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✏Probabilistic Graphical Models Book Summary : Proceedings of the annual Conference on Uncertainty in Artificial Intelligence, available for 1991-present. Since 1985, the Conference on Uncertainty in Artificial Intelligence (UAI) has been the primary international forum for exchanging results on the use of principled uncertain-reasoning methods in intelligent systems. The UAI Proceedings have become a basic reference for researches and practitioners who want to know about both theoretical advances and the latest applied developments in the field.

📒Probabilistic Graphical Models ✍ Luis Enrique Sucar

Probabilistic Graphical Models Book PDF
✏Book Title : Probabilistic Graphical Models
✏Author : Luis Enrique Sucar
✏Publisher : Springer
✏Release Date : 2015-06-19
✏Pages : 253
✏ISBN : 9781447166993
✏Available Language : English, Spanish, And French

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✏Probabilistic Graphical Models Book Summary : This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes. Features: presents a unified framework encompassing all of the main classes of PGMs; describes the practical application of the different techniques; examines the latest developments in the field, covering multidimensional Bayesian classifiers, relational graphical models and causal models; provides exercises, suggestions for further reading, and ideas for research or programming projects at the end of each chapter.

Medical Computer Vision And Bayesian And Graphical Models For Biomedical Imaging Book PDF
✏Book Title : Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
✏Author : Henning MĂŒller
✏Publisher : Springer
✏Release Date : 2017-06-30
✏Pages : 222
✏ISBN : 9783319611884
✏Available Language : English, Spanish, And French

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✏Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging Book Summary : This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.

📒Computer Vision Eccv 2008 ✍ David Forsyth

Computer Vision Eccv 2008 Book PDF
✏Book Title : Computer Vision ECCV 2008
✏Author : David Forsyth
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-10-07
✏Pages : 826
✏ISBN : 9783540886891
✏Available Language : English, Spanish, And French

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✏Computer Vision ECCV 2008 Book Summary : The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Handbook Of Pattern Recognition And Computer Vision Book PDF
✏Book Title : Handbook of Pattern Recognition and Computer Vision
✏Author : Chi-hau Chen
✏Publisher : World Scientific
✏Release Date : 2010
✏Pages : 796
✏ISBN : 9789814273398
✏Available Language : English, Spanish, And French

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✏Handbook of Pattern Recognition and Computer Vision Book Summary : Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.

📒Computer Vision ✍ Simon J. D. Prince

Computer Vision Book PDF
✏Book Title : Computer Vision
✏Author : Simon J. D. Prince
✏Publisher : Cambridge University Press
✏Release Date : 2012-06-18
✏Pages : 580
✏ISBN : 9781107011793
✏Available Language : English, Spanish, And French

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✏Computer Vision Book Summary : A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Probabilistic Graphical Models For Genetics Genomics And Postgenomics Book PDF
✏Book Title : Probabilistic Graphical Models for Genetics Genomics and Postgenomics
✏Author : Christine Sinoquet
✏Publisher : OUP Oxford
✏Release Date : 2014-09-18
✏Pages : 464
✏ISBN : 9780191019203
✏Available Language : English, Spanish, And French

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✏Probabilistic Graphical Models for Genetics Genomics and Postgenomics Book Summary : Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.

Applied Graph Theory In Computer Vision And Pattern Recognition Book PDF
✏Book Title : Applied Graph Theory in Computer Vision and Pattern Recognition
✏Author : Abraham Kandel
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-03-12
✏Pages : 265
✏ISBN : 9783540680192
✏Available Language : English, Spanish, And French

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✏Applied Graph Theory in Computer Vision and Pattern Recognition Book Summary : This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pattern recognition tasks. The first part of the book presents the application of graph theory to low-level processing of digital images such as a new method for partitioning a given image into a hierarchy of homogeneous areas using graph pyramids, or a study of the relationship between graph theory and digital topology. Part II presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, including a survey of graph based methodologies for pattern recognition and computer vision, a presentation of a series of computationally efficient algorithms for testing graph isomorphism and related graph matching tasks in pattern recognition and a new graph distance measure to be used for solving graph matching problems. Finally, Part III provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks. It includes a critical review of the main graph-based and structural methods for fingerprint classification, a new method to visualize time series of graphs, and potential applications in computer network monitoring and abnormal event detection.

On Hierarchical Models For Visual Recognition And Learning Of Objects Scenes And Activities Book PDF
✏Book Title : On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities
✏Author : Jens Spehr
✏Publisher : Springer
✏Release Date : 2014-11-13
✏Pages : 199
✏ISBN : 9783319113258
✏Available Language : English, Spanish, And French

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✏On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities Book Summary : In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model the environment of the vehicle for an efficient and robust interpretation of the scene in real-time.

Structured Learning And Prediction In Computer Vision Book PDF
✏Book Title : Structured Learning and Prediction in Computer Vision
✏Author : Sebastian Nowozin
✏Publisher : Now Publishers Inc
✏Release Date : 2011
✏Pages : 196
✏ISBN : 9781601984562
✏Available Language : English, Spanish, And French

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✏Structured Learning and Prediction in Computer Vision Book Summary : Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.

Intelligence Science And Big Data Engineering Big Data And Machine Learning Book PDF
✏Book Title : Intelligence Science and Big Data Engineering Big Data and Machine Learning
✏Author : Zhen Cui
✏Publisher : Springer Nature
✏Release Date : 2019-11-28
✏Pages : 455
✏ISBN : 9783030362041
✏Available Language : English, Spanish, And French

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✏Intelligence Science and Big Data Engineering Big Data and Machine Learning Book Summary : The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Reasoning With Probabilistic And Deterministic Graphical Models Book PDF
✏Book Title : Reasoning with Probabilistic and Deterministic Graphical Models
✏Author : Rina Dechter
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2013-12-01
✏Pages : 191
✏ISBN : 9781627051989
✏Available Language : English, Spanish, And French

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✏Reasoning with Probabilistic and Deterministic Graphical Models Book Summary : Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. In this book we provide comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. We believe the principles outlined here would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond.

Copulae In Mathematical And Quantitative Finance Book PDF
✏Book Title : Copulae in Mathematical and Quantitative Finance
✏Author : Piotr Jaworski
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-06-18
✏Pages : 294
✏ISBN : 9783642354076
✏Available Language : English, Spanish, And French

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✏Copulae in Mathematical and Quantitative Finance Book Summary : Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 1950s, copulas have gained considerable popularity in several fields of applied mathematics, especially finance and insurance. Today, copulas represent a well-recognized tool for market and credit models, aggregation of risks, and portfolio selection. Historically, the Gaussian copula model has been one of the most common models in credit risk. However, the recent financial crisis has underlined its limitations and drawbacks. In fact, despite their simplicity, Gaussian copula models severely underestimate the risk of the occurrence of joint extreme events. Recent theoretical investigations have put new tools for detecting and estimating dependence and risk (like tail dependence, time-varying models, etc) in the spotlight. All such investigations need to be further developed and promoted, a goal this book pursues. The book includes surveys that provide an up-to-date account of essential aspects of copula models in quantitative finance, as well as the extended versions of talks selected from papers presented at the workshop in Cracow.

📒Machine Learning ✍ Kevin P. Murphy

Machine Learning Book PDF
✏Book Title : Machine Learning
✏Author : Kevin P. Murphy
✏Publisher : MIT Press
✏Release Date : 2012-08-24
✏Pages : 1067
✏ISBN : 9780262018029
✏Available Language : English, Spanish, And French

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✏Machine Learning Book Summary : A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Data Driven Computational Neuroscience Book PDF
✏Book Title : Data Driven Computational Neuroscience
✏Author : Concha Bielza
✏Publisher : Cambridge University Press
✏Release Date : 2020-10-31
✏Pages : 700
✏ISBN : 9781108493703
✏Available Language : English, Spanish, And French

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✏Data Driven Computational Neuroscience Book Summary : Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.

Visual Analysis Of Behaviour Book PDF
✏Book Title : Visual Analysis of Behaviour
✏Author : Shaogang Gong
✏Publisher : Springer Science & Business Media
✏Release Date : 2011-05-26
✏Pages : 356
✏ISBN : 0857296701
✏Available Language : English, Spanish, And French

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✏Visual Analysis of Behaviour Book Summary : This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.

Energy Minimization Methods In Computer Vision And Pattern Recognition Book PDF
✏Book Title : Energy Minimization Methods in Computer Vision and Pattern Recognition
✏Author : Anand Rangarajan
✏Publisher : Springer Science & Business Media
✏Release Date : 2005-10-31
✏Pages : 666
✏ISBN : 9783540302872
✏Available Language : English, Spanish, And French

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✏Energy Minimization Methods in Computer Vision and Pattern Recognition Book Summary : This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recog- tion (EMMCVPR 2005), which was held at the Hilton St. Augustine Historic Bayfront, St. Augustine, Florida, USA, during November9 11,2005.This wo- shop is the ?fth in a series which began with EMMCVPR 1997 held in Venice, Italy, in May 1997 and continued with EMMCVPR 1999 held in York, UK, in July 1999, EMMCVPR 2001 held in Sophia-Antipolis, France, in September 2001 and EMMCVPR 2003 held in Lisbon, Portugal, in July 2003. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi?cation and data mining. The aim of this workshop was to bring together researchers with interests in thesedisparateareasofCVPRbutwithanunderlyingcommitmenttosomeform of not only energy minimization but global optimization in general. Although thesubjectistraditionallywellrepresentedinmajorinternationalconferenceson CVPR, recent advances information geometry, Bayesian networks and gra- ical models, Markov chain Monte Carlo, graph algorithms, implicit methods in variational approaches and PDEs deserve an informal and focused hearing in a workshop setting."

📒Inductive Logic Programming ✍ Fabrizio Riguzzi

Inductive Logic Programming Book PDF
✏Book Title : Inductive Logic Programming
✏Author : Fabrizio Riguzzi
✏Publisher : Springer
✏Release Date : 2013-06-04
✏Pages : 273
✏ISBN : 9783642388125
✏Available Language : English, Spanish, And French

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✏Inductive Logic Programming Book Summary : This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.

Direct Solutions To Perceptual Organization Problems Book PDF
✏Book Title : Direct Solutions To Perceptual Organization Problems
✏Author : Ravi Kumar Panchumarthy
✏Publisher :
✏Release Date : 2015
✏Pages :
✏ISBN : OCLC:953113098
✏Available Language : English, Spanish, And French

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✏Direct Solutions To Perceptual Organization Problems Book Summary : The dissertation also presents image processing algorithms for analysis of results produced by actual fabrication of the magnetic systems.

Computer Vision Eccv  Book PDF
✏Book Title : Computer Vision ECCV
✏Author :
✏Publisher :
✏Release Date : 2002
✏Pages :
✏ISBN : UOM:39015048312220
✏Available Language : English, Spanish, And French

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✏Computer Vision ECCV Book Summary :

📒Advances In Bayesian Networks ✍ JosĂ© A. GĂĄmez

Advances In Bayesian Networks Book PDF
✏Book Title : Advances in Bayesian Networks
✏Author : JosĂ© A. GĂĄmez
✏Publisher : Springer
✏Release Date : 2013-06-29
✏Pages : 328
✏ISBN : 9783540398790
✏Available Language : English, Spanish, And French

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✏Advances in Bayesian Networks Book Summary : In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.

Handbook Of Statistics Book PDF
✏Book Title : Handbook of Statistics
✏Author :
✏Publisher : Newnes
✏Release Date : 2013-05-16
✏Pages : 552
✏ISBN : 9780444538666
✏Available Language : English, Spanish, And French

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✏Handbook of Statistics Book Summary : Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. very relevant to current research challenges faced in various fields self-contained reference to machine learning emphasis on applications-oriented techniques

Type 2 Fuzzy Graphical Models For Pattern Recognition Book PDF
✏Book Title : Type 2 Fuzzy Graphical Models for Pattern Recognition
✏Author : Jia Zeng
✏Publisher : Springer
✏Release Date : 2014-09-17
✏Pages : 201
✏ISBN : 9783662446904
✏Available Language : English, Spanish, And French

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✏Type 2 Fuzzy Graphical Models for Pattern Recognition Book Summary : This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.

Intelligence Science And Big Data Engineering Visual Data Engineering Book PDF
✏Book Title : Intelligence Science and Big Data Engineering Visual Data Engineering
✏Author : Zhen Cui
✏Publisher : Springer Nature
✏Release Date : 2019-11-28
✏Pages : 577
✏ISBN : 9783030361891
✏Available Language : English, Spanish, And French

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✏Intelligence Science and Big Data Engineering Visual Data Engineering Book Summary : The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Dissertation Abstracts International Book PDF
✏Book Title : Dissertation Abstracts International
✏Author :
✏Publisher :
✏Release Date : 2008
✏Pages :
✏ISBN : STANFORD:36105131549649
✏Available Language : English, Spanish, And French

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✏Dissertation Abstracts International Book Summary :

Managing And Mining Uncertain Data Book PDF
✏Book Title : Managing and Mining Uncertain Data
✏Author : Charu C. Aggarwal
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-07-08
✏Pages : 494
✏ISBN : 9780387096902
✏Available Language : English, Spanish, And French

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✏Managing and Mining Uncertain Data Book Summary : Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.

📒Superintelligence ✍ Nick Bostrom

Superintelligence Book PDF
✏Book Title : Superintelligence
✏Author : Nick Bostrom
✏Publisher : OUP Oxford
✏Release Date : 2014-07-02
✏Pages : 272
✏ISBN : 9780191666834
✏Available Language : English, Spanish, And French

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✏Superintelligence Book Summary : The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.

Intelligent Data Analysis For Real Life Applications Theory And Practice Book PDF
✏Book Title : Intelligent Data Analysis for Real Life Applications Theory and Practice
✏Author : Magdalena-Benedito, Rafael
✏Publisher : IGI Global
✏Release Date : 2012-06-30
✏Pages : 444
✏ISBN : 9781466618077
✏Available Language : English, Spanish, And French

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✏Intelligent Data Analysis for Real Life Applications Theory and Practice Book Summary : With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.