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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
| 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 |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XVI, 467 p. 145 illus., 72 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computers
Artificial intelligence Pattern recognition Application software Information storage and retrieval Algorithms Computation by Abstract Devices Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-21786-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. 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 -- 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. 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. Natural Language Processing and Text and Data Mining. |
| Record Nr. | UNISA-996465425803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Perception and Machine Intelligence [[electronic resource] ] : First Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2011, Proceedings / / edited by Malay K. Kundu, Sushmita Mitra, Debasis Mazumdar, Sankar K. Pal
| Perception and Machine Intelligence [[electronic resource] ] : First Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2011, Proceedings / / edited by Malay K. Kundu, Sushmita Mitra, Debasis Mazumdar, Sankar K. Pal |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XVII, 380 p.) |
| Disciplina | 004 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer science
Computer Science, general |
| ISBN | 3-642-27387-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466271703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Perception and Machine Intelligence : Second International Conference on Perception and Machine Intelligence, PerMIn '15 : Kolkata, India, February 26-27, 2015 : proceedings
| Perception and Machine Intelligence : Second International Conference on Perception and Machine Intelligence, PerMIn '15 : Kolkata, India, February 26-27, 2015 : proceedings |
| Autore | Pal Sankar K |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2015 |
| Descrizione fisica | 1 online resource (269 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Computer Science
Engineering & Applied Sciences |
| ISBN | 1-4503-2002-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2nd International Conference on Perception and Machine Intelligence
PerMIn '15 2nd International Conference on Perception and Machine Intelligence, Kolkata, West Bengal, India - February 26 - 27, 2015 |
| Record Nr. | UNINA-9910376612003321 |
Pal Sankar K
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| [Place of publication not identified], : ACM, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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