Pattern Recognition and Data Mining: Third International Conference on Advances in Pattern Recognition, ICAR 2005, Bath, UK, August 22-25, 2005Sameer Singh This LNCS volume contains the papers presented at the 3rd International C- ferenceonAdvances in PatternRecognition(ICAPR2005)organizedin August, 2005 in the beautiful city of Bath, UK. The conference was ?rst organized in November 1998 in Plymouth, UK and subsequently in March 2001 in Rio de Janeiro, Brazil. The conference encouraged papers that made signi'cant th- reticalandapplication-basedcontributions inpatternrecognition. The emphasis was on an open exchange of ideas and shared learning. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The papers have been ?nally published as two volumes of LNCS and these are organized under the themes of Pattern Recognition and Data Mining (which included papers from the trackson PatternRecognition Methods, Knowledgeand Learning, and Data Mining), and Pattern Recognition and Image Analysis (which included papers from the Applications track). From the conference technical programme point of view, the ?rst volume contains papers on pattern recognition, data mining, signal processing and OCR/document analysis. The second volume contains - pers from the Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance, Biometrics, Image Processing and Medical Imaging. ICAPR 2005was run in parallel with the InternationalWorkshop on Pattern Recognition for Crime Prevention, Security and Surveillance that was organized onthe22ndofAugust,2005. Thisworkshopbroughttogethera number ofexc- lent papers that focussed on how pattern recognition techniques can be used to developsystemsthathelpwithcrimepreventionanddetection. Onthesameday, a number of tutorials were also organized. |
Contents
Pattern Recognition and Data Mining | 1 |
Adaptive Estimation of Human Posture Using a ComponentBased | 2 |
Face Recognition Using Heteroscedastic Weighted Kernel Discriminant | 15 |
OCRDocument Analysis | 17 |
Mathematical Features for Recognizing Preference in Subsaharan | 18 |
Fingerprint Image Enhancement Using STFT Analysis | 20 |
Symmetric Hash Functions for Fingerprint Minutiae | 30 |
Effective Probability Forecasting for Time Series Data Using Standard | 35 |
Feature Selection Based on KPCA SVM and GSFS for Face Recognition | 344 |
Spectral Clustering for Time Series | 345 |
Image Processing | 360 |
A Biased Support Vector Machine Approach to Web Filtering | 363 |
Clustering of Objects in 3D Electron Tomography Reconstructions | 377 |
Consolidated Tree Classifier Learning in a Car Insurance Fraud | 381 |
Image Reconstruction with Polar Zernike Moments | 394 |
Predictive Model for Protein Function Using Modular Neural Approach | 400 |
A Digital Rights Management Approach for GrayLevel Images | 39 |
MillimetreWave Personnel Scanners for Automated Weapon Detection | 48 |
GP Ensemble for Distributed Intrusion Detection Systems | 54 |
A Thermal Hand Vein Pattern Verification System | 58 |
Illumination Tolerant Face Recognition Using PhaseOnly Support | 66 |
On Adaptive Confidences for CriticDriven Classifier Combining | 71 |
Regional and Online Learnable Fields | 74 |
Spatial Feature Based Recognition of Human Dynamics in Video | 84 |
Making Use of Unelaborated Advice to Improve Reinforcement | 89 |
Using Behavior Knowledge Space and Temporal Information | 94 |
Classifiers with Stable Explanation A Model | 99 |
Biometrics | 103 |
Attention Based Facial Symmetry Detection | 112 |
Mathematical Morphology and Binary Geodesy for Robot Navigation | 118 |
An Efficient Iris Segmentation Method for Recognition | 120 |
Multiscale Palmprint Recognition Using Registration Information | 127 |
Taxonomy of Classifiers Based on Dissimilarity Features | 136 |
3D Action Modeling and Reconstruction for 2D Human Body Tracking | 146 |
Prediction of Commodity Prices in Rapidly Changing Environments | 154 |
A Nonparametric Dimensionality Reduction Technique Using Gradient | 155 |
On the Automatic 2D Retinal Vessel Extraction | 165 |
On Fitting Finite Dirichlet Mixture Using ECM and MML | 172 |
Modeling Phase Spectra Using Gaussian Mixture Models for Human | 174 |
Belief Theory Applied to Facial Expressions Classification | 183 |
Analyzing Large Image Databases with the Evolving Tree | 192 |
ClassSpecific Discriminant Nonnegative Matrix Factorization | 206 |
Recognition Tasks Are Imitation Games | 209 |
Use of Input Deformations with Brownian Motion Filters | 219 |
Eyes Segmentation Applied to Gaze Direction and Vigilance Estimation | 236 |
An Optimally Weighted Fuzzy kNN Algorithm | 239 |
Approximation of Digital Circles by Regular Polygons | 257 |
Conditionally Dependent Classifier Fusion Using AND Rule | 277 |
Combining Text and Link Analysis for Focused Crawling | 278 |
A Fingerprint Authentication Mobile Phone Based on Sweep Sensor | 295 |
Configuration of Neural Networks for the Analysis of Seasonal Time | 297 |
Similarity Searching in Image Retrieval with Statistical Distance | 315 |
Designing a Fast Convolution Under the LIP Paradigm Applied | 317 |
Fusion of Locally Linear Embedding and Principal Component Analysis | 326 |
Empirical Study on Weighted Voting Multiple Classifiers | 335 |
SemanticBased CrossMedia Image Retrieval | 414 |
Multiview EM Algorithm for Finite Mixture Models | 420 |
A FeatureBased Correspondence Method | 424 |
Surface Reconstruction from Stereo Data Using ThreeDimensional | 434 |
Detection of Spots in 2D Electrophoresis Gels by Symmetry Features | 436 |
Unsupervised Markovian Segmentation on Graphics Hardware | 444 |
Accuracy of String Kernels for Protein Sequence Classification | 454 |
Texture Detection for Image Analysis | 455 |
An Efficient Feature Selection Method for Object Detection | 461 |
of Criteria with a Genetic Algorithm | 464 |
3D Model Retrieval Based on Adaptive Views Clustering | 473 |
Selection of Classifiers Using InformationTheoretic Criteria | 478 |
Michal Haindl Stanislav Mikeˇs HumanCentered ObjectBased Image Retrieval | 484 |
Signal Processing | 491 |
van den Broek Eva M van Rikxoort Theo E Multiscale Midline Extraction Using Creaseness Schouten | 492 |
Silhouette Spatiotemporal Spectrum SStS for GaitBased Human | 497 |
Recognition of Insect Emissions Applying the Discrete Wavelet | 505 |
Automatic Indexing of News Videos Through Text Classification | 506 |
Transformations of LPC and LSF Parameters to Speech Recognition | 522 |
ParallelSequential Texture Analysis | 532 |
Learning with Segment Boundaries for Hierarchical HMMs | 538 |
Probabilistic Tangent Subspace Method for Multiuser Detection | 553 |
Feature Extraction for Handwritten Chinese Character by Weighted | 560 |
Local Feature Saliency for Texture Representation | 570 |
A New Approach | 580 |
An Efficient Leaf Image Retrieval System | 589 |
Noisy Digit Classification with Multiple Specialist | 601 |
Finding People in Video Streams by Statistical Modeling | 608 |
High Performance Classifiers Combination for Handwritten Digit | 619 |
Shape Retrieval by Principal Components Descriptor | 626 |
Optical FlowBased Segmentation of Containers for Automatic Code | 636 |
Dynamic Time Warping of Cyclic Strings for Shape Matching | 644 |
New Holistic Handwritten Word Recognition and Its Application | 654 |
| 663 | |
Handwriting Documents Denoising and Indexing Using Hermite | 664 |
On the Filter Combination for Efficient Image Preprocessing Under | 673 |
Author Index | 685 |
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Common terms and phrases
accuracy algorithm analysis applied approach approximation average better calculated classifier clustering combination compared complexity components Computer considered construct contains corresponding criterion database dataset decision defined dependent described detection determine different distance distribution dynamical ensemble error estimation evaluation example experimental experiments extraction Figure filtering first function given graph IEEE important improve increases initial input International knowledge label learning linear Machine Learning matching matrix mean measure method neural network node objective observed obtained operation optimal original parameters Pattern performance positive possible prediction presented prime probability problem proposed provides recognition References represented Research respectively rules sample scheme segmentation selection sequence shows similarity space speech statistical step strategy structure Table task technique transformation trees University values vector weight