{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":35,"n_cols":5,"rows_kept":35,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[20,2,20,3],[21,2,21,3],[25,2,25,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA996465425803316"]
[null,null,"Titolo",null,"Pattern Recognition and Machine Intelligence [[electronic resource] ] : 4th International Conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011, Proceedings / / edited by Sergei O. Kuznetsov, Deba P. Mandal, Malay K. Kundu, Sankar Kumar Pal"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011"]
[null,null,"ISBN",null,"3-642-21786-9"]
[null,null,"Edizione",null,"[1st ed. 2011.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 467 p. 145 illus., 72 illus. in color.)"]
[null,null,"Collana",null,"Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 6744"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Computers"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Computation by Abstract Devices"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Title -- Preface -- Organization -- Table of Contents -- Invited Talks -- Enriching Education through Data Mining -- References -- How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy -- Background and Motivation -- Lifting Model and Method -- Statement of the Problem -- Lifting Method -- An Example of Application -- Conclusion -- References -- On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies -- References -- Quality of Algorithms for Sequence Comparison -- Seeds, Sensitivity and Selectivity -- Alignments, Accuracy and Confidence -- References -- Problems of Machine "]
[{"$nulls":4},"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."]
[{"$nulls":4},"Building of a Classifying Function Based on k-NN -- Algorithm of Descriptors Selection of Based on the k-NN -- Results -- The Results on a Set of Amber Odorants -- The Results on a Set of Toxic Compounds -- Conclusion -- References -- Stable Feature Extraction with the Help of Stochastic Information Measure -- Introduction -- The Average Set Function of Information of Pattern -- The Stochastic Additive Average Information Measure -- The Numerical Characteristics of Stochastic Additive Average Information Measure -- Finding of Optimal Stable Pattern Representation -- References -- Wavelet-Based Clustering of Social-Network Users Using Temporal and Activity Profiles -- Introduction -- Survey of Related Work -- Brief Overview of Wavelet Analysis and Wavelet Transformation -- Wavelet-Based Clustering of User Interaction Data -- Experiments and Results -- References -- Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules -- Introduction -- Definitions and Notation -- Splitting and Connectivity Bounds -- SC-Bound for Threshold Conjunctive Rules -- Conclusion -- References -- An Improvement of Dissimilarity-Based Classifications Using SIFT Algorithm -- Introduction -- DBCs with SIFT Algorithm -- Experimental Results -- Conclusions -- References -- Introduction, Elimination Rules for \\neg and \\supset:\\\\ A Study from Graded Context -- Introduction -- In the Context of Graded Consequence -- An Analysis of Proof Theoretic Rules of Inference: Existing Approaches versus the Theory of Graded Consequence -- Conclusion -- References -- Image Analysis -- Discrete Circular Mapping for Computation of Zernike Moments -- Introduction -- Zernike Polynomials and Zernike Moments -- Discrete Circle, Ring, Disc and Their Properties -- Proposed Algorithm for Computation of Zernike Moments -- Computational Analysis -- Comparison -- Conclusion."]
[{"$nulls":4},"References -- Unsupervised Image Segmentation with Adaptive Archive-Based Evolutionary Multiobjective Clustering -- Introduction -- Multiobjective Clustering with AbYSS -- Experimental Study -- Conclusion -- References -- Modified Self-Organizing Feature Map Neural Network with Semi-supervision for Change Detection in Remotely Sensed Images -- Introduction -- Kohonen's Self-Organizing Feature Map -- The Proposed Algorithm -- Results and Analysis -- Conclusion -- References -- Image Retargeting through Constrained Growth of Important Rectangular Partitions -- Introduction -- Region of Importance Extraction -- Proposed Retargeting Scheme -- Initial Position of Important Rectangles in Target Space -- Growing Important Rectangles in Target Space -- Partitioning into Rectangles and Mapping "]
[{"$nulls":4},"-- Obtaining a Distortion-Free Image -- Results and Discussions -- Conclusion -- References -- SATCLUS: An Effective Clustering Technique for Remotely Sensed Images -- Introduction -- The Proposed Technique -- Procedure of SATCLUS -- Performance Evaluation -- Conclusions and Future Work -- References -- Blur Estimation for Barcode Recognition in Out-of-Focus Images -- Introduction -- Barcode Signal Reconstruction -- Related Works -- Our Proposed Approach -- The Error Function -- Estimating the Blur Parameters -- Algorithm Complexity -- Experiment and Result -- Conclusion -- References -- Entropy-Based Automatic Segmentation of Bones in Digital X-ray Images -- Introduction -- Medical Image Segmentation: Prior Art -- Proposed Approach for X-ray Image Segmentation -- Integrated Segmentation Algorithm -- Entropy Computation and Constructing Entropy Image -- Morphological Filter: Multilevel LOCO -- Thresholding -- Experimental Results -- Quantitative Performance Evaluation -- Discussion and Conclusion -- References."]
[{"$nulls":4},"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."]
[{"$nulls":4},"M-band Wavelet and Distance Measure -- Proposed Technique -- Color-Texture Feature as Signature -- Iterative Computation of Weighted Based on Feature Relevance -- Experimental Results -- Conclusions -- References -- Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching -- Introduction -- Spatial Segmentation Using Proposed Fuzzy Edge Incorporated MRF Model -- Region Matching Based Motion Estimation -- Results and Discussion -- Conclusion -- References -- Combined Topological and Directional Relations Based Motion Event Predictions -- Introduction -- CTD Method -- Spatio-Temporal Predicates -- Examples -- Conclusion -- References -- Recognizing Hand Gestures of a Dancer -- Introduction "]
[{"$nulls":4},"-- 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."]
[{"$nulls":4},"Natural Language Processing and Text and Data Mining."]
[null,null,null,"Sommario/riassunto","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."]