the proceedings contain 39 papers. the special focus in this conference is on Unsupervised Learning, Matching, Probabilistic Modelling, Segmentation, Grouping, Shape Modelling and Reconstruction. the topics include: S...
ISBN:
(纸本)3540404988
the proceedings contain 39 papers. the special focus in this conference is on Unsupervised Learning, Matching, Probabilistic Modelling, Segmentation, Grouping, Shape Modelling and Reconstruction. the topics include: Stochastic search for optimal linear representations of images on spaces with orthogonality constraints;curve matching using the fast marching method;EM algorithm for clustering an ensemble of graphs with comb matching;information force clustering using directed trees;active sampling strategies for multihypothesis testing;likelihood based hierarchical clustering and network topology identification;learning mixtures of tree-unions by minimizing description length;hierarchical annealing for random image synthesis;semi-supervised image segmentation by parametric distributional clustering;path variation and image segmentation;a fast snake segmentation method applied to histopathological sections;a compositionality architecture for perceptual feature grouping;using prior shape and points in medical image segmentation;separating a texture from an arbitrary background using pair wise grey level cooccurrences;surface recovery from 3D point data using a combined parametric and geometric flow approach;curvature vector flow to assure convergent deformable models for shape modelling;a MAP estimation algorithm using IIR recursive filters;estimation of rank deficient matrices from partial observations;contextual and non-combinatorial approach to feature extraction;generalized multi-camera scene reconstruction using graph cuts and graph matching using spectral seriation.
Although inexact graph-matching is a problem of potentially exponential complexity, the problem may be simplified by decomposing the graphs to be matched into smaller subgraphs. If this is done, then the process may c...
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graphs are a powerful and versatile tool useful for representing patterns in various subfields of science and engineering. In many applications, for example, in patternrecognition and computer vision, it is required ...
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Irregular pyramids are made of a stack of successively reduced graphs embedded in the plane. Each vertex of a reduced graph corresponds to a connected set of vertices in the level below. One connected set of vertices ...
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We present a new method (MIDES) to determine contraction kernels for the construction of graph pyramids. Experimentally the new method has a reduction factor higher than 2.0. thus, the new method yields a higher reduc...
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this paper is concerned with computing graph edit distance. One of the criticisms that can be leveled at existing methods for computing graph edit distance is that it lacks the formality and rigour of the computation ...
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In this paper we show how inexact multisubgraph matching can be solved using methods based on the projections of vertices (and their connections) into the eigenspaces of graphs - and associated clustering methods. Our...
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the possibility of application of the knowledge base technology to solve the patternrecognition problems has been considered. For this purpose. the investigations to deepen the pilotage information analysing and proc...
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the possibility of application of the knowledge base technology to solve the patternrecognition problems has been considered. For this purpose. the investigations to deepen the pilotage information analysing and processing have been carried out and the tasks related to pilotage technique controlling and assessment have been singled out. Prospects of the application of the fuzzy set theory methods and the decision making using the knowledge about problem domain is demonstrated. (C) 2000 Elsevier Science Ltd. All rights reserved.
Hierarchical image structures are abundant in computer vision, and have been used to encode part structure, scale spaces, and a variety of multiresolution features. In this paper, we describe a unified framework for b...
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the paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles, both, data and control parts of the ...
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the paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles, both, data and control parts of the design in a uniform manner is proposed. the method combines deterministic and simulation-based techniques. On the register-transfer level, deterministic path activation is combined with simulation based-techniques used for constraints solving. the gate-level local test patterns for components are randomly generated driven by high-level constraints and partial path activation solutions. Experiments show that high fault coverages for circuits with complex sequential structures can be achieved in a very short time by using this approach.
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