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检索条件"机构=Pattern Recog./Image Proc. Group"
4 条 记 录,以下是1-10 订阅
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Fitting of a Closed Planar Curve Representing a Profile of an Archaeological Fragment  01
Fitting of a Closed Planar Curve Representing a Profile of a...
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proc.edings VAST 2001 Virtual Reality, Archeology, and Cultural Heritage
作者: Hlavackova-Schindler, Kateřina Kampel, Martin Sablatnig, Robert Pattern Recog./Image Proc. Group Inst. of Computer Aided Automation Vienna University of Technology Favoritenstraße 9/1832 A-1040 Vienna Austria
Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification of ceramics. The basis for classification and reconstruction of ceramics is the profile... 详细信息
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MDL-based design of vector quantizers
MDL-based design of vector quantizers
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International Conference on pattern recog.ition
作者: H. Bischof A. Leonardis Pattern Recog. and Image Proc. Group University of Technology Vienna Vienna Austria Faculty of Computer and InformationScience University of Ljubljana Ljubljana Slovenia
We develop a framework for vector quantization networks based on the minimum description length (MDL) principle. This MDL framework is used to derive conditions for the removal of superfluous units from the network. W... 详细信息
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A robust subspace classifier
A robust subspace classifier
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International Conference on pattern recog.ition
作者: H. Bischof A. Leonardis F. Pezzei Pattern Recog. and Image Proc. Group University of Technology Vienna Vienna Austria Faculty of Computer and InformationScience University of Ljubljana Ljubljana Slovenia
In this paper we study the problem of missing features and the issues of robustness of subspace classification methods. We propose a new robust method for subspace classification which can cope with missing features a... 详细信息
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Robust recog.ition of scaled eigenimages through a hierarchical approach
Robust recognition of scaled eigenimages through a hierarchi...
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Conference on Computer Vision and pattern recog.ition (CVPR)
作者: H. Bischof A. Leonardis Pattern Recog. and Image Proc. Group University of Technology Vienna Vienna Austria Faculty of Computer and Info. Science University of Ljubljana Ljubljana Slovenia
Recently, we have proposed a new approach to estimation of the coefficients of eigenimages, which is robust against occlusion, varying background, and other types of non-Gaussian noise. In this paper we show that our ... 详细信息
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