TY - BOOK AU - Kuznetsov,Sergei O. ED - International Conference on Pattern Recognition and Machine Intelligence TI - Pattern recognition and machine intelligence: 4th international conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011 : proceedings T2 - Lecture notes in computer science, SN - 9783642217869 AV - TK7882.P3 I58 2011 U1 - 006.4 23 PY - 2011/// CY - Berlin PB - Springer KW - Pattern perception KW - Congresses KW - Computer vision KW - Artificial intelligence KW - Perception des structures KW - Congrès KW - Vision par ordinateur KW - Intelligence artificielle KW - Informatique KW - eclas KW - fast KW - informatiesystemen KW - information systems KW - internet KW - informatieontsluiting KW - information retrieval KW - informatieopslag KW - information storage KW - algoritmen KW - algorithms KW - computeranalyse KW - computer analysis KW - computerwetenschappen KW - computer sciences KW - computational science KW - kunstmatige intelligentie KW - artificial intelligence KW - patroonherkenning KW - pattern recognition KW - Information and Communication Technology (General) KW - Informatie- en communicatietechnologie (algemeen) KW - Congress KW - proceedings (reports) KW - aat KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf N1 - Includes bibliographical references and author index; Intro -- Title -- Preface -- Organization -- Table of Contents -- Invited Talks -- Enriching Education through Data Mining -- References -- How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy -- Background and Motivation -- Lifting Model and Method -- Statement of the Problem -- Lifting Method -- An Example of Application -- Conclusion -- References -- On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies -- References -- Quality of Algorithms for Sequence Comparison -- Seeds, Sensitivity and Selectivity -- Alignments, Accuracy and Confidence -- References -- Problems of Machine Learning -- References -- Pattern Recognition and Machine Learning -- Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment -- Bayesian Definition of the Pattern Recognition Problem in Non-stationary Environment -- Dynamic Support Vector Machine Criterion -- Quickly Optimization Procedure for a Dynamic SVM Criterion -- Case Study: Spam-Filtering Problem -- Conclusions -- References -- The Classification of Noisy Sequences Generated by Similar HMMs -- Introduction -- The Method of Sequences Classification -- Computing Experiments -- The Additive Noise -- Probability Substitution of a Sequence by Noise -- Conclusion -- References -- NDoT: Nearest Neighbor Distance Based Outlier Detection Technique -- Introduction -- Proposed Outlier Detection Technique : NDoT -- Experimental Evaluations -- Synthetic Datasets -- Real World Datasets -- References -- Some Remarks on the Relation between Annotated Ordered Sets and Pattern Structures -- Introduction -- Annotated Ordered Sets -- Pattern Structures -- Basic Connections -- Projections -- References -- Solving the Structure-Property Problem Using k-NN Classification -- Introduction -- Problem Statement; Building of a Classifying Function Based on k-NN -- Algorithm of Descriptors Selection of Based on the k-NN -- Results -- The Results on a Set of Amber Odorants -- The Results on a Set of Toxic Compounds -- Conclusion -- References -- Stable Feature Extraction with the Help of Stochastic Information Measure -- Introduction -- The Average Set Function of Information of Pattern -- The Stochastic Additive Average Information Measure -- The Numerical Characteristics of Stochastic Additive Average Information Measure -- Finding of Optimal Stable Pattern Representation -- References -- Wavelet-Based Clustering of Social-Network Users Using Temporal and Activity Profiles -- Introduction -- Survey of Related Work -- Brief Overview of Wavelet Analysis and Wavelet Transformation -- Wavelet-Based Clustering of User Interaction Data -- Experiments and Results -- References -- Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules -- Introduction -- Definitions and Notation -- Splitting and Connectivity Bounds -- SC-Bound for Threshold Conjunctive Rules -- Conclusion -- References -- An Improvement of Dissimilarity-Based Classifications Using SIFT Algorithm -- Introduction -- DBCs with SIFT Algorithm -- Experimental Results -- Conclusions -- References -- Introduction, Elimination Rules for \neg and \supset:\\ A Study from Graded Context -- Introduction -- In the Context of Graded Consequence -- An Analysis of Proof Theoretic Rules of Inference: Existing Approaches versus the Theory of Graded Consequence -- Conclusion -- References -- Image Analysis -- Discrete Circular Mapping for Computation of Zernike Moments -- Introduction -- Zernike Polynomials and Zernike Moments -- Discrete Circle, Ring, Disc and Their Properties -- Proposed Algorithm for Computation of Zernike Moments -- Computational Analysis -- Comparison -- Conclusion; Principle and Method of Image Recognition under Diffusive Distortions of Image -- Introduction -- Principle and Methods -- Calibration Using Circular Spots -- Thresholds for the Determination of Regular Circles -- Conclusion -- References -- Regression Models for Texture Image Analysis -- Introduction -- Problem of Texture Image Recognition -- Image Model -- Features Design Method -- Selecting of Linearly Independent Subset -- Experiments with Test Images -- Conclusion -- References -- Shape Descriptor Based on the Volume of Transformed Image Boundary -- Introduction -- A Topological Description of Shapes -- Shape Space -- Volume Descriptor and Family of Transformations -- Implementation and Results -- Discretization -- MPEG-7 CE Shape-1 Part-B Data Set -- Kimia Database -- Conclusion -- References -- Color Image Segmentation Using a Semi-wrapped Gaussian Mixture Model -- Introduction -- Semi-wrapped Gaussian Distributions: Description and Mixture -- Wrapped Gaussian Distribution -- Semi-wrapped Gaussian Distribution and Mixture -- Maximum Likelihood Estimation -- Color Image Segmentation -- Evaluation of Segmentation -- Results and Discussions -- Summery and Future Scope -- References -- Perception-Based Design for Tele-presence -- Introduction -- Tele-presence and Video Conferencing -- Geometric Correction: Novel View Generation -- Spectral Correction -- Conclusion -- References -- Automatic Adductors Angle Measurement for Neurological Assessment of Post-neonatal Infants during Follow Up -- Introduction -- Proposed Angle Measurement Scheme -- Segmentation and Binarization of Image -- Skeletonization of Binary Object -- Filtering -- Adductors Angle Measurement -- Results and Discussions -- Conclusion and Future Directions -- References -- Image and Video Information Retrieval -- Interactive Image Retrieval with Wavelet Features -- Introduction; M-band Wavelet and Distance Measure -- Proposed Technique -- Color-Texture Feature as Signature -- Iterative Computation of Weighted Based on Feature Relevance -- Experimental Results -- Conclusions -- References -- Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching -- Introduction -- Spatial Segmentation Using Proposed Fuzzy Edge Incorporated MRF Model -- Region Matching Based Motion Estimation -- Results and Discussion -- Conclusion -- References -- Combined Topological and Directional Relations Based Motion Event Predictions -- Introduction -- CTD Method -- Spatio-Temporal Predicates -- Examples -- Conclusion -- References -- Recognizing Hand Gestures of a Dancer -- Introduction -- Feature Extraction -- Edge Orientation Histogram -- Gradients at Corner Points of Skeleton -- Experimental Results -- Conclusion -- References -- Spatiotemporal Approach for Tracking Using Rough Entropy and Frame Subtraction -- Introduction -- Rough Sets for Image Segmentation -- Detection and Tracking in Video Sequence -- Results and Discussion -- Conclusions -- References -- OSiMa: Human Pose Estimation from a Single Image -- Introduction -- Upper Body Pose Estimation -- Results -- Conclusion -- References -- Scene Categorization Using Topic Model Based Hierarchical Conditional Random Fields -- Introduction -- Feature Based Image Representation Using LDA -- Hierarchical Framework for Scene Categorization Using CRFs -- Experimental Results and Discussion -- Conclusion -- References -- Uncalibrated Camera Based Interactive 3DTV -- Introduction -- System Architecture -- Scene Classification -- Camera Calibration -- Obtaining the Dense Depth Map -- Virtual View Synthesis -- Interactively Choosing the Viewpoint -- Results and Discussions -- Future Work and Conclusion -- References N2 - This book constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2011, held in Moscow, Russia in June/July 2011. The 65 revised papers presented together with 5 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on pattern recognition and machine learning; image analysis; image and video information retrieval; natural language processing and text and data mining; watermarking, steganography and biometrics; soft computing and applications; clustering and network analysis; bio and chemo analysis; and document image processing UR - https://link.springer.com/10.1007/978-3-642-21786-9 ER -