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检索条件"任意字段=9th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014"

共 41 条记录，以下是21-30 订阅

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Discrete Geometry for Computer Imagery - 9th international conference, DGCI 2000, Proceedings

Discrete Geometry for Computer Imagery - 9th International C...

引用

9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

ISBN: (纸本)3540413960

the proceedings contain 43 papers. the topics discussed include: tesselations by connection in orders;nearness in digital images and proximity spaces;morphological operators with discrete line segments;Hausdorff discretizations of algebraic sets and diophantine sets;an algorithm for reconstructing special lattice sets from their approximate x-rays;reconstruction of discrete sets with absorption;some properties of hyperbolic networks;the reconstruction of the digital hyperbola segment from its code;determining visible points in a three-dimensional discrete space;Euclidean nets: an automatic and reversible geometric smoothing of discrete 3D object boundaries;object discretization in higher dimensions;strong thinning and polyhedrization of the surface of a voxel object;deformable modeling for characterizing biomedical shape changes;Delaunay surface reconstruction from scattered points;and topological encoding of 3D segmented images.

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Contextual edge detection using a recurrent neural network 9th

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9th international conference on Image Analysis and Processing, ICIAP 1997

作者： Pinho, Armando J. Almeida, Luls B. Dep. Electrόnica e Telecomunições/INESC Universidade de Aveiro Aveiro3810 Portugal INESC/Inst. Superior Técnico R. Alves Redol 9 Lisboa1000 Portugal

ISBN: (纸本)3540635084

If we consider edge detection as a classification problem, then it seems reasonable that context should play an important role in its study. In fact, it is frequent that neighboring pixels exhibit a strong inter-dependence. In this paper we propose a recurrent neural network for edge detection, which uses a special architecture intended to incorporate contextual information during operation. Some experimental results are presented, showing its effectiveness. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Edge detection

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

9th International Conference on Discrete Geometry for Comput...

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

ISBN: (纸本)3540413960

the proceedings contain 43 papers. the special focus in this conference is on Topology and Discrete Images. the topics include: Homotopy in digital spaces;tesselations by connection in orders;a concise characterization of 3D simple points;digital jordan curve theorems;a new means for investigating 3-manifolds;nearness in digital images and proximity spaces;morphological operators with discrete line segments;hausdorff discretizations of algebraic sets and diophantine sets;an algorithm for reconstructing special lattice sets from their approximate x-rays;a question of digital linear algebra;reconstruction of discrete sets with absorption;some properties of hyperbolic networks;the reconstruction of the digital hyperbola segment from its code;determining visible points in a three-dimensional discrete space;extended reeb graphs for surface understanding and description;an automatic and reversible geometric smoothing of discrete 3D object boundaries;object discretization in higher dimensions;strong thinning and polyhedrization of the surface of a voxel object;deformable modeling for characterizing biomedical shape changes;naive planes as discrete combinatorial surfaces;surface digitizations by dilations which are tunnel-free;delaunay surface reconstruction from scattered points;go digital, go fuzzy and recognition of digital naive planes and polyhedrization.

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Plane embedding of dually contracted graphs

Plane embedding of dually contracted graphs

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

作者： Glantz, Roland Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Favoritenstr. 9 A-1040 Vienna Austria

ISBN: (纸本)3540413960

the use of plane graphs for the description of image structure and shape representation poses two problems : (1) how to obtain the set of vertices, the set of edges and the incidence relation of the graph, and (2) how to embed the graph into the plane image. Initially, the image is represented by an embedded graph G in a straight forward manner, i.e. the edges of G represent the 4-connectivity of the pixels. Let G¯ denote a (planar) abstract dual of G. Dual graph contraction is used to reduce the pair (G¯,G) to a pair (H¯,H) of planar abstract duals. Dual graph contraction is unsymmetric due to an extra condition on the choice of the contraction kernels in G. this condition is shown to be necessary and sufficient for H to be embedded onto G. the embedding is applied to the description of image structure and to shape representation. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Graph theory

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Identifying informative genes for prediction of breast cancer subtypes

Identifying informative genes for prediction of breast cance...

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8th iapr international conference on pattern recognition in bioinformatics, prib 2013

作者： Rezaeian, Iman Li, Yifeng Crozier, Martin Andrechek, Eran Ngom, Alioune Rueda, Luis Porter, Lisa School of Computer Science University of Windsor 401 Sunset Avenue Windsor ON N9B 3P4 Canada Department of Biological Sciences University of Windsor 401 Sunset Avenue Windsor ON N9B 3P4 Canada Department of Physiology Michigan State University 567 Wilson Rd East Lansing MI 48824 United States

ISBN: (纸本)9783642391583

It is known that breast cancer is not just one disease, but rather a collection of many different diseases occurring in one site that can be distinguished based in part on characteristic gene expression signatures. Appropriate diagnosis of the specific subtypes of this disease is critical for ensuring the best possible patient response to therapy. Currently, therapeutic direction is determined based on the expression of characteristic receptors;while cost effective, this method is not robust and is limited to predicting a small number of subtypes reliably. Using the original 5 subtypes of breast cancer we hypothesized that machine learning techniques would offer many benefits for feature selection. Unlike existing gene selection approaches, we propose a tree-based approach that conducts gene selection and builds the classifier simultaneously. We conducted computational experiments to select the minimal number of genes that would reliably predict a given subtype. Our results support that this modified approach to gene selection yields a small subset of genes that can predict subtypes with greater than 95% overall accuracy. In addition to providing a valuable list of targets for diagnostic purposes, the gene ontologies of selected genes suggest that these methods have isolated a number of potential genes involved in breast cancer biology, etiology and potentially novel therapeutics. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Diseases

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Morphological operations on 3D and 4D images: From shape primitive detection to skeletonization

Morphological operations on 3D and 4D images: From shape pri...

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

作者： Jonker, Pieter P. Pattern Recognition Group Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands

ISBN: (纸本)3540413960

this paper describes a practical approach to mathematical morphology and ways to implement its operations. the first chapters treat a formalism that has the potential of implementing morphological operations on binary images of arbitrary dimensions. the formalism is based on sets of structuring elements for hit-or-miss transforms whereas each structuring element actually describes a shape primitive. the formalism is applied to two and three dimensional binary images and the paper includes structuring elements for topology preserving thinning or skeletonization and various skeleton variants. the generation of shape primitive detecting masks is treated as well as their application in segmentation, accurate measurement and conditions for topology preserving. the formalism is expanded to four-dimensional images and elaborates on the extension of 3D skeletonization to 4D skeletonization. A short excursion was made to methods based on 3D and 4D Euler - cluster count methods. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Binary images

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Nearness in digital images and proximity spaces

Nearness in digital images and proximity spaces

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

作者： Pták, Pavel Kropatsch, Walter G. CMP – Czech Technical University Center for Machine Perception Karlovo nám. 13 Praha 2121 35 Czech Republic Institute of Computer Aided Automation 183/2 Vienna University of Technology Pattern Recognition and Image Processing Group Favoritenstr.9 WienA-1040 Austria

ISBN: (纸本)3540413960

the concept of "nearness", which has been dealt with as soon as one started studying digital images, finds one of its rigorous forms in the notion of proximity space. It is this notion, together with "nearness preserving mappings", that we investigate in this paper. We first review basic examples as they naturally occur in digital topologies, making also brief comparison studies with other concepts in digital geometry. After this we characterize proximally continuous mappings in metric spaces. Finally, we show by example that the "proximite complexity" of a finite covering in a digital picture may be too high to be adequately depicted in a finite topological space. this combinatorial result may indicate another conceptual advantage of proximities over topologies. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Topology

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Adaptive stereo matching in correlation scale-space 9th

Adaptive stereo matching in correlation scale-space

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9th international conference on Image Analysis and Processing, ICIAP 1997

作者： Menard, Christian Kropatsch, Walter G. Pattern Recognition and Image Processing Group Vienna University of Technology Treitlstraße 3/183/2 ViennaA-1040 Austria

ISBN: (纸本)3540635076

Stereo computes the distance of objects, "their depth", from two images of two cameras using the triangulation principle. Points of imaged objects are mapped in different locations in the two stereo images. A central problem in stereo matching using correlation techniques lies in selecting the size of the search window. Small windows contain only a small number of data points, and thus are very sensitive to noise and therefore result in false matches. Whereas large search windows contain data from two or more different objects or surfaces, thus the estimated disparity is not accurate due to different projective distortions in the left and the right image. the new method introduces a continuous scale parameter for the matching process. It allows the adaption of the scale for every individual region and overcomes the drawbacks of fixed window sizes which is impressively demonstrated by the experimental results. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Stereo image processing

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Determining visible points in a three-dimensional discrete space

Determining visible points in a three-dimensional discrete s...

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9th international conference on Discrete Geometry for Computer Imagery, DGCI 2000

作者： thürmer, Grit Pousset, Arnault Braquelaire, Achille J.-P. CoGVis/MMC - Computer Graphics Visualization Man-Machine Communication Group Faculty of Media Bauhaus-University Weimar 99421 Weimar Germany LaBRI - Laboratoire Bordelais de Recherche en Informatique UMR 5800 University Bordeaux 1 351 cours de la Libération 33405 Talence France

ISBN: (纸本)3540413960

A method is proposed which computes the visible points of surfaces in a 3-dimensional discrete space. the occlusion of surface points of an object by other object points is determined by shooting a discrete ray from each surface point towards the center of projection considering the intersection of the ray with other object points. Since the projection of points onto the viewing plane is done by a continuous mapping, additionally to the discrete ray, the location of the continuous projection ray is examined regarding its location to the surface points that are intersected by the discrete ray. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Computers

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Biological protein-protein interaction prediction using binding free energies and linear dimensionality reduction

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5th iapr international conference on pattern recognition in bioinformatics, prib 2010

作者： Rueda, L. Garate, Carolina Banerjee, Sridip Mominul Aziz, Md. School of Computer Science University of Windsor 401 Sunset Ave WindsorONN9B 3P4 Canada Department of Computer Science University of Concepcion Concepcion Chile

ISBN: (纸本)9783642160004

An important issue in understanding and classifying protein-protein interactions (PPI) is to characterize their interfaces in order to discriminate between transient and obligate complexes. We propose a classification approach to discriminate between these two types of complexes. Our approach uses contact and binding free energies of the residues present in the interaction, which are the input features for the classifiers. A total of 282 features are extracted for each complex, and the classification is performed via recently proposed dimensionality reduction (LDR) methods, including the well-know Fisher’s discriminant analysis and two heteroscedastic approaches. the results on a standard benchmark of transient and obligate protein complexes show that LDR approaches achieve a very high classification accuracy (over 78%), outperforming various support vector machines and nearest-neighbor classifiers. An additional insight on the proposed approach and experiments on different subsets of features shows that solvation energies can be used in the classification, leading to a performance comparable to using the full binding free energies of the interaction. © 2010, Springer-Verlag Berlin Heidelberg.

关键词： Discriminant analysis

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