Advances In Pattern Recognition: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, August 11-13, 1998, Proc by Adnan AminAdvances In Pattern Recognition: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, August 11-13, 1998, Proc by Adnan Amin

Advances In Pattern Recognition: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney…

byAdnan Amin

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Title:Advances In Pattern Recognition: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney…Format:PaperbackDimensions:1050 pages, 23.5 × 15.5 × 1.73 in

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ISBN - 10:3540648585

ISBN - 13:9783540648581

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Table of Contents

Error-tolerant graph matching: A formal framework and algorithms.- Semantic content based image retrieval using object-process diagrams.- Pattern recognition methods in image and video databases: Past, present and future.- Efficient matching with invariant local descriptors.- Torah codes: New experimental protocols.- Integrating numerical and syntactic learning models for pattern recognition.- Synthesis of function-described graphs.- Marked subgraph isomorphism of ordered graphs.- Distance evaluation in pattern matching based on frontier topological graph.- Syntactic interpolation of fractal sequences.- Minimizing the topological structure of line images.- Genetic algorithms for structural editing.- The noisy subsequence tree recognition problem.- The path-connectedness in Z 2 and Z 3 and classical topologies.- Object recognition from large structural libraries.- Acquisition of 2-D shape models from scenes with overlapping objects using string matching.- A taxonomy of occlusion in view signature II representations: A regular language for the representation of 3-D rigid solid objects.- Skeletonizing volume objects part II: From surface to curve skeleton.- A survey of non-thinning based vectorization methods.- A benchmark for Raster to vector conversion systems.- Network-based recognition of architectural symbols.- Recovering image structure by model-based interaction map.- An improved scheme to fingerprint classification.- Character recognition with k-head finite array automata.- Using semantics in matching cursive Chinese handwritten annotations.- Concavity detection using a binary mask-based approach.- Structural indexing of line pictures with feature generation models.- Nonlinear covariance for multi-band image data.- A neural network for image smooothing and segmentation.- Prototyping structural descriptions: An inductive learning approach.- Neural network based learning of local compatibilities for segment grouping.- Constrained attribute grammars for recognition of multi-dimensional objects.- Object recognition using sequential images and application to active vision.- Recognizing partially visible 2-D non-rigid wire-shapes.- XFF: A simple method to extract fractal features for 2D object recognition.- Tracking of rotating objects.- Efficient implementation of regulated morphological operations based on directional interval coding.- Clique-to-clique distance computation using a specific architecture.- Algebraic view of grammatical inference.- Remarks on the notation of coordinate grammars.- A structural classifier to automatically identify form classes.- Towards efficient structural analysis of mathematical expressions.- The topological consistence of path connectedness in regular and irregular structures.- Content-based image indexing and retrieval: A syntactical approach.- Knowledge-based recognition of crosshatched areas in engineering drawings.- Information extraction from document images using white space and graphics analysis.- Multi-interval discretization methods for decision tree learning.- Handwritten digit recognition through inferring graph grammars. A first appproach.- Optical character recognition: Neural network analysis of hand-printed characters.- Structural boundary feature extraction for printed character recognition.- Locating segmentation regions of connected handwritten digits.- Recognition on handwritten digits based on their topological and morphological properties.- Perceptual features for off-line handwritten word recognition: A framework for heuristic prediction, representation and matching.- On structural modelling for omnifont and handwritten character recognition.- Image segmentation by label anisotropic diffusion.- Classifier-independent feature selection for two-stage feature selection.- Feature selection for a nonlinear classifier.- Regularization by adding redundant features.- Feature selection expert - User oriented approach.- Structures of the covariance matrices in the classifier design.- Outlier detection using classifier instability.- Distribution free decomposition of multivariate data.- Classifier conditional posterior probabilities.- Editing prototypes in the finite sample size case using alternative neighborhoods.- Image classification using a stochastic model that reflects the internal structure of mixels.- Nearest neighbors in random subspaces.- A model for non-stationary time series analysis with clustering methods.- Robust cluster analysis via mixtures of multivariate t-distributions.- Consistent set estimation in k-dimensions : An efficient approach.- A statistical theory of shape.- Accurate detection and characterization of corner points using circular statistics and fuzzy clustering.- An approximate nearest neighbours search algorithm based on the Extended General Spacefilling Curves Heuristic.- A pretopological approach for pattern classification with reject options.- Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule.- Optimum decision rules in pattern recognition.- On unifying probabilistic/fuzzy and possibilistic rejection-based classifiers.- Rejection versus error in a multiple experts environment.- Distance rejection in the context of electric power system security assessment based on automatic learning.- On virtually binary nature of probabilistic neural networks.- Linear discriminant analysis for two classes via recursive neural network reduction of the class separation.- Modified minimum classification error learning and its application to neural networks.- Applying voting to segmentation of MR images.- Segmentation of natural images using hierarchical and syntactic methods.- Nonlinear variance measures in image data.- Non-linear mapping for feature extraction.- MDL-based selection of the number of components in mixture models for pattern classification.- Stepwise selection of perceptual texture features.- Pattern classification with noisy features.- Features for the classification of marine microfossils.- A statistical clustering model and algorithm.- BANG-Clustering: A novel grid-clustering algorithm for huge data sets.- Set partition principles revisited.- Pattern classification based on local learning.- Comparison of different methods for testing the significance of classification efficiency.- Non-Gaussian stochastic model for analysis of automatic detection/recognition.- Fast median search in metric spaces.- Generalised syntactic pattern recognition as a unifying approach in image analysis.- Minimal sample size in grammatical inference a bootstrapping approach.- A statistical approach to structure and motion from image features.- A hierarchical classifier for multifont digits.- Multi-level arabic handwritten words recognition.- Mixtures of principal components Gaussians for density estimation in high dimension data spaces.- Characterization and classification of printed text in a multiscale context.- Analysis of Gabor parameters for handwritten numeral recognition by experimental design.- A new cost function for typewritten digits segmentation.- Learning parameters of Gibbs random fields using unconditional and conditional MLE of potentials.- A nonparametric data mapping technique for active initialization of the multilayer perceptron.- Pattern recognition learning applied to stereovision matching.- Human verification using 3D-gray-scale face image.- Subject-based modular eigenspace scheme for face recognition.- Unsupervised texture segmentation.- Invisible modification of the palette color image enhancing lossless compression.- A statistical model for an automatic procedure to compress a word transcription dictionary.