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» An Axis-Based Representation for Recognition
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CVPR
2001
IEEE
16 years 3 months ago
Generic Model Abstraction from Examples
Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap bet...
Yakov Keselman, Sven J. Dickinson
CVPR
2005
IEEE
16 years 3 months ago
A Generative Model of Human Hair for Hair Sketching
Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we prop...
Hong Chen, Song Chun Zhu
CVPR
2006
IEEE
16 years 3 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 1 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ICIAP
2003
ACM
16 years 1 months ago
Multiscale Fourier descriptor for shape classification
The description of the object shape is an important characteristic of the image. In image processing and pattern recognition, several different shape descriptors are used. In huma...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...