Pattern Recognition and Machine Intelligence

Name: Pattern Recognition and Machine Intelligence | 4th International Conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011, Proceedings
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4th International Conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011, Proceedings

Sergei O. Kuznetsov Deba P. Mandal Malay K. Kundu Sankar Kumar Pal(Editor)

Springer (Publisher)

Published on 25. June 2011

XVI, 467 pages

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978-3-642-21786-9 (ISBN)

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Content

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
Author Identification in Bengali Literary Works
Introduction
Stylometric Features
Classifier Algorithm
Details of the Collection
Experimental Results
Conclusion
References
Finding Potential Seeds through Rank Aggregation of Web Searches
Introduction
Discovering Potential Seeds
Proposed Approach Using Rank Aggregation
Evaluation and Discussions
Dataset and Evaluation Strategy
Relevance Judgement
Discussions
Conclusion
References
Combining Evidence for Automatic Extraction of Terms
Introduction
Description of Experiment: Data and Evaluation
Features for Term Candidate Reordering
Features Based on Internet Search
Features Based on Terms of Domain-Specific Thesaurus
Results of Experiments
Conclusion
References
A New Centrality Measure for Influence Maximization in Social Networks
Introduction
Information Diffusion Model
Related Works
Proposed Diffusion Degree and Heuristic Model
Experiment and Results
Data Set
Results
Conclusion
References
Method of Cognitive Semantic Analysis of Russian Sentence
Introduction
Mathematical Models
Noun Phrase Identification
Participial Clause Identification
Evaluation and Example
Conclusion
References
Data Representation in Machine Learning-Based Sentiment Analysis of Customer Reviews
Introduction
The Subject of Research and Problems of Sentiment Analysis
Approaches to Sentiment Analysis
Empirical Protocol
Data Collection and Preprocessing
Positive and Negative Examples
Data Representation
Descriptions of the Methods
Naive Bayes Method
The Method Based on the Jaccard Measure of Set Similarity
K-Nearest Neighbor
First Results
Learning with Advanced Data Representation
Conclusion and Future Work
References
Automatic Retrieval of Parallel Collocations
Introduction
Environment
Description of the Method
Word-to-Word Sentence Alignment
One-Language Collocation Production
Parallel Collocations Production
Filtration
Discussion of Results
Explanation of Filters Order
Results of Filtration
Conclusion
References
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation
Introduction
Some Existing Distance Measures
The Proposed Metric (KTDispSq)
Experiments and Results
Correlation with Other Metrics
Pick the Best Expert
Conclusions and Future Work
References
Sentence Ranking for Document Indexing
Introduction
Proposed Indexing Scheme
Implementation and Results
Conclusions
References
Watermarking, Steganography and Biometrics
Optimal Parameter Selection for Image Watermarking Using MOGA
Introduction
Proposed Methodology
Implementation and Results
Conclusions
References
Hybrid Contourlet-DCT Based Robust Image Watermarking Technique Applied to Medical Data Management
Introduction
Contourlet Transform (CLT)
Proposed Scheme
Watermark Embedding
Watermark Extraction
Experimental Results and Comparisons
Conclusions
References
Accurate Localizations of Reference Points in a Fingerprint Image
Introduction
Proposed Method to Identify Reference Points
Formation of Orientation Image
Reference Point Detection
False Reference Point Detection and Removal
Identification of Finer Point from Core Region
Experimental Results
Conclusion
References
Adaptive Pixel Swapping Based Steganography Reducing Embedding Noise
Introduction
Proposed Scheme
Embedding Algorithm
Extraction Algorithm
Experimental Results
Reduction of Additive Noise
Security against Blind Steganalysis
Conclusion
References
Classification and Quantification of Occlusion Using Hidden Markov Model
Introduction
Elements of the Proposed HMM
Experimental Setup
Experimental Results
Conclusion
References
Soft Computing and Applications
IC-Topological Spaces and Applications in Soft Computing
IC-Topological Spaces
Application in Soft Computing When the Information from the Data Is Incomplete
A Model of Decision Making When the Information from the Data Is Incomplete
Decision of Change of Set of Attributes
References
Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images
Introduction
Hopfield's Model of Neural Networks
Discrete Model
Continuous Model
Change Detection Based on Modified Hopfield Neural Network Architecture
Architecture Evolution Using GAs for Change Detection
Results and Analysis
Conclusion
References
Synthesis and Characterization of Gold Nanoparticles - A Fuzzy Mathematical Approach
Introduction
Materials and Methods
Nano Scale Image Data Clustering Using Fuzzy C-Means(FCM)
Shape Based Image Registration of Gold NP's
Experimental Procedure and Results
Conclusion
References
A Rough Set Based Decision Tree Algorithm and Its Application in Intrusion Detection
Introduction
Preliminaries
RSDT Algorithm and Its Application in IDS
Experiment
Conclusion
References
Information Systems and Rough Set Approximations: An Algebraic Approach
Introduction
Algebra for Complete Information Systems
Representation
Conclusions
References
Clustering and Network Analysis
Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules
Introduction
Determination of a Set of Independent Variables
Regression Rules Induction
The Experiment
Summary and Conclusions
References
Forecasting the U.S. Stock Market via Levenberg-Marquardt and Haken Artificial Neural Networks Using ICA&PCA Pre-processing Techniques
The Levenberg-Marquardt Network
The Haken Network
Trading Rules
Results
Conclusions
References
Empirical Study of Matrix Factorization Methods for Collaborative Filtering
Introduction
Model
Loss Functions
Optimization
SGD
SMD
Meta-optimization
Evaluation
Experiments
Discussion
References
Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection
Introduction
Unsupervised Feature Selection and Outliers Rejection
The Model
Model Learning
Experimental Results: Texture Discrimination
Conclusion
References
Simultaneous Clustering: A Survey
Introduction
Simultaneous Clustering Problem
Simultaneous Clustering Approaches
Conclusion
References
Analysis of Centrality Measures of Airport Network of India
Introduction
Method
Results and Discussion
Conclusion
References
Clusters of Multivariate Stationary Time Series by Differential Evolution and Autoregressive Distance
Introduction
The Autoregressive Weights for Multivariate Time Series
Differential Evolution Based Clustering
Experiments on Artificial Data Sets
The Australian Sign Language Data
Conclusions
References
Bio and Chemo Informatics
Neuro-fuzzy Methodology for Selecting Genes Mediating Lung Cancer
Introduction
Methodology
Results
Conclusions
References
A Methodology for Handling a New Kind of Outliers Present in Gene Expression Patterns
Introduction
A New Kind of Outlier
A Methodology for Handling a New Kind of Outliers
Results
Conclusions
References
Developmental Trend Derived from Modules of Wnt Signaling Pathways
Introduction
Methodology
Results and Discussion
Conclusions
References
Evaluation of Semantic Term and Gene Similarity Measures
Introduction
Semantic Term Similarity Measures
Gene Similarity Measures
Analysis
Datasets
Experiments and Results
Conclusions
References
Finding Bicliques in Digraphs: Application into Viral-Host Protein Interactome
Introduction
Problem Definition
Proposed Method
Experimental Results
Concluding Remarks
References
Document Image Processing
Advantages of the Extended Water Flow Algorithm for Handwritten Text Segmentation
Introduction
Water Flow Algorithm
Testing, Results and Comparative Analysis
Conclusions
References
Construction of Model of Structured Documents Based on Machine Learning
Introduction
Problem Setting
Document Model
Document Model Generalization
Experimental Evaluation
Conclusion
References
Segmental K-Means Learning with Mixture Distribution for HMM Based Handwriting Recognition
Introduction
Features
Feature Extraction with Wavelet Transform
Feature Reduction with PCA
HMM Parameter Estimation
Topology Selection and Initial Parameter Estimation
Re-estimation of Model Parameter through Segmental K-Means
Experimental Results
Model Selection
Conclusion
References
Feature Set Selection for On-Line Signatures Using Selection of Regression Variables
Introduction
Selection of Regression Variables
Experiment
Conclusion
References
Headline Based Text Extraction from Outdoor Images
Introduction
Color Image Segmentation
Morphology Based Headline Detection
Headline Attached Text Portion Separation
Identification of Headline Unattached Text
Results and Discussion
Conclusion
References
Incremental Methods in Collaborative Filtering for Ordinal Data
Introduction
Incremental Singular Value Decomposition (ISVD)
Problem Definition
New SVD
Generalized Hebbian Algorithm
Experiments
Results
References
A Scheme for Attentional Video Compression
Introduction
Generation of Saliency Map
Global Conspicuity: Color Spatial Variance
Local Conspicuity: Multi-scale Ratio of Dissimilarity
Rarity Conspicuity: Pulse Discrete Cosine Transform
Learning to Integrate the Feature Maps
Video Compression Architecture
Propagation of Saliency Values
Selection of Quantization Parameters
Conclusion
References
Using Conceptual Graphs for Text Mining in Technical Support Services
Introduction
Problem Statement
General Approach to Solution
System Implementation and Experimental Results
Conceptual Graphs Acquisition and Processing
Search Relevant Documents
Conclusion and Future Work
References
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Pattern Recognition and Machine Intelligence

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