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Structural, Syntactic, and Statistical Pattern Recognition, Pasi Fr?nti; Gavin Brown; Marco Loog; Francisco Es


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Автор: Pasi Fr?nti; Gavin Brown; Marco Loog; Francisco Es
Название:  Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 9783662444146
Издательство: Springer
Классификация: ISBN-10: 3662444143
Обложка/Формат: Paperback
Страницы: 478
Вес: 0.69 кг.
Дата издания: 04.08.2014
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Размер: 234 x 156 x 26
Основная тема: Computer Science
Подзаголовок: Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Graph Kernels.- A Graph Kernel from the Depth-Based Representation.- Incorporating Molecules Stereoisomerism within the Machine Learning Framework.- Transitive State Alignment for the Quantum Jensen-Shannon Kernel.- Clustering.- Balanced K-Means for Clustering.- Poisoning Complete-Linkage Hierarchical Clustering.- A Comparison of Categorical Attribute Data Clustering Methods.- Graph Edit Distance.- Improving Approximate Graph Edit Distance Using Genetic Algorithms.- Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks.- A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance.- Graph Models and Embedding.- Flip-Flop Sublinear Models for Graphs.- Node Centrality for Continuous-Time Quantum Walks.- Max-Correlation Embedding Computation.- Discriminant Analysis.- Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels.- Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model.- Combining and Selecting.- Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood.- Majority Vote of Diverse Classifiers for Late Fusion.- Entropic Graph Embedding via Multivariate Degree Distributions.- On Parallel Lines in Noisy Forms.- Metrics and Dissimilarities.- Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.- Matching Similarity for Keyword-Based Clustering.- Applications.- Quantum vs Classical Ranking in Segment Grouping.- Remove Noise in Video with 3D Topological Maps.- Video Analysis of a Snooker Footage Based on a Kinematic Model.- Partial Supervision.- Evaluating Classification Performance with only Positive and Unlabeled Samples.- Who Is Missing? A New Pattern Recognition Puzzle.- Poster Session.- Edit Distance Computed by Fast Bipartite Graph Matching.- Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence.- Analyses on Generalization Error of Ensemble Kernel Regressors.- Structural Human Shape Analysis for Modeling and Recognition.- On Cross-Validation for MLP Model Evaluation.- Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions.- Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition.- About Combining Metric Learning and Prototype Generation.- Tracking System with Re-identification Using a RGB String Kernel.- Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria.- IOWA Operators and Its Application to Image Retrieval.- On Optimum Thresholding of Multivariate Change Detectors.- Commute Time for a Gaussian Wave Packet on a Graph.- Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data.- A Binary Factor Graph Model for Biclustering.- Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words.- A Ranking Part Model for Object Detection.- Regular Decomposition of Multivariate Time Series and Other Matrices.- Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms.- Improved Object Matching Using Structural Relations.- Designing LDPC Codes for ECOC Classification Systems.- Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Elementary Syntactic Structures

Автор: Boeckx
Название: Elementary Syntactic Structures
ISBN: 1107034094 ISBN-13(EAN): 9781107034099
Издательство: Cambridge Academ
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Цена: 10138.00 р.
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Описание: Turning grammar upside down, this book proposes a new model of syntax that is better suited for interdisciplinary interactions, and shows how syntax can proceed free of lexical influence. The empirical domain examined is vast, and all the fundamental units and properties of syntax are rethought.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Niels da Vitoria Lobo; Takis Kasparis; Michael Geo
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540896880 ISBN-13(EAN): 9783540896883
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Contains papers organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, and computer vision and biometrics.

Syntactic Pattern Recognition, Applications

Автор: K.S. Fu; J.E. Albus; R.H. Anderson; J.M. Brayer; R
Название: Syntactic Pattern Recognition, Applications
ISBN: 3642664407 ISBN-13(EAN): 9783642664403
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach.

Advances in Structural and Syntactical Pattern Recognition

Автор: Petra Perner; Patrick Wang; Azriel Rosenfeld
Название: Advances in Structural and Syntactical Pattern Recognition
ISBN: 3540615776 ISBN-13(EAN): 9783540615774
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The papers contained in this text are divided into sections on: grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-bassed methods; 2D and 3D shape recognition; and handwritten and printed character recognition.

Functional Heads: The Cartography of Syntactic Structures, Volume 7

Автор: Brug Laura, Cardinaletti Anna, Giusti Giuliana
Название: Functional Heads: The Cartography of Syntactic Structures, Volume 7
ISBN: 0199746729 ISBN-13(EAN): 9780199746729
Издательство: Oxford Academ
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Цена: 7364.00 р.
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Описание: The cartographic project considers evidence for a functional head in one language as evidence for it in universal grammar. In this volume, some of the most influential linguists who have participated in this long-lasting debate offer their recent work in short, self contained case studies.

Syntactic and Structural Pattern Recognition

Автор: Gabriel Ferrate; Theo Pavlidis; Alberto Sanfeliu;
Название: Syntactic and Structural Pattern Recognition
ISBN: 3642834647 ISBN-13(EAN): 9783642834646
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition, held in Barcelona-Sitges, Spain, October 23-25, 1986

Russian Case Morphology and the Syntactic Categories

Автор: Pesetsky, David
Название: Russian Case Morphology and the Syntactic Categories
ISBN: 026252502X ISBN-13(EAN): 9780262525022
Издательство: MIT Press
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Цена: 3119.00 р.
Наличие на складе: Нет в наличии.

Описание:

A proposal for a radical new view of case morphology, supported by a detailed investigation of some of the thorniest topics in Russian grammar.

In this book, David Pesetsky argues that the peculiarities of Russian nominal phrases provide significant clues concerning the syntactic side of morphological case. Pesetsky argues against the traditional view that case categories such as nominative or genitive have a special status in the grammar of human languages. Supporting his argument with a detailed analysis of a complex array of morpho-syntactic phenomena in the Russian noun phrase (with brief excursions to other languages), he proposes instead that the case categories are just part-of-speech features copied as morphology from head to dependent as syntactic structure is built.

Pesetsky presents a careful investigation of one of the thorniest topics in Russian grammar, the morpho-syntax of noun phrases with numerals (including those traditionally called the paucals). He argues that these bewilderingly complex facts can be explained if case categories are viewed simply as parts of speech, assigned as morphology. Pesetsky's analysis is notable for offering a new theoretical perspective on some of the most puzzling areas of Russian grammar, a highly original account of nominal case that significantly affects our understanding of an important property of language.

Structural Markedness and Syntactic Structure: A Study of Word Order and the Left Periphery in Mexican Spanish

Автор: Guti Rrez-Bravo Rodrigo
Название: Structural Markedness and Syntactic Structure: A Study of Word Order and the Left Periphery in Mexican Spanish
ISBN: 0415850886 ISBN-13(EAN): 9780415850889
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Описание: First published in 2006. Routledge is an imprint of Taylor & Francis, an informa company.

The Syntactic Structures of Korean

Автор: Kim
Название: The Syntactic Structures of Korean
ISBN: 1107103754 ISBN-13(EAN): 9781107103757
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: The Syntactic Structures of Korean offers a remarkably broad yet in-depth empirical and theoretical coverage of popular contemporary topics in Korean syntax and semantics. It is an invaluable resource for undergraduate and graduate students of linguistics seeking an insightful and systematic critique of existing literature, and viable solutions.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Ana Fred; Terry Caelli; Robert P.W. Duin; Aur?lio
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540225706 ISBN-13(EAN): 9783540225706
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This volume contains all papers presented at SSPR 2004 and SPR 2004, hosted by the Instituto de Telecomunicac , oes/Instituto Superior T ecnico, Lisbon, Portugal, August 18-20, 2004. This was the fourth time that the two workshops were held back-to-back. The SSPR was the tenth International Workshop on Structural and Synt- tic Pattern Recognition, and the SPR was the ?fth International Workshop on Statistical Techniques in Pattern Recognition. These workshops have traditi- ally been held in conjunction with ICPR (International Conference on Pattern Recognition), and are the major events for technical committees TC2 and TC1, respectively, of the International Association for Pattern Recognition (IAPR). The workshops were closely coordinated, being held in parallel, with plenary talks and a common session on hybrid systems. This was an attempt to resolve thedilemmaofhowto dealwiththeneedfornarrow-focusspecializedworkshops yet accommodate the presentation of new theories and techniques that blur the distinction between the statistical and the structural approaches. A total of 219 papers were received from many countries, with the subm- sion and reviewing processes being carried out separately for each workshop. A total of 59 papers were accepted for oral presentation and 64 for posters. In - dition, four invited speakers presented informative talks and overviews of their research. They were: Alberto Sanfeliu, from the Technical University of Cata- nia, Spain; Marco Gori, from the University of Siena, Italy; Nello Cristianini, from the University of California, USA; and Erkki Oja, from Helsinki University of Technology, Finland, winner of the 2004 Pierre Devijver Award.


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