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» Dimensionality Reduction for Image Retrieval
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IJIG
2002
107views more  IJIG 2002»
13 years 7 months ago
A Sub-Vector Weighting Scheme for Image Retrieval with Relevance Feedback
In this paper, a sub-vector weighting scheme is proposed for the case of small sample in image retrieval with relevance feedback. By partitioning a multi-dimensional visual featur...
Lei Wang, Kap Luk Chan, Xuejian Xiong
ECCV
2010
Springer
13 years 11 months ago
Binary coherent edge descriptors
Patch descriptors are used for a variety of tasks ranging from finding corresponding points across images, to describing object category parts. In this paper, we propose an image ...
SMI
2007
IEEE
192views Image Analysis» more  SMI 2007»
14 years 2 months ago
Multivariate Density-Based 3D Shape Descriptors
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
Ceyhun Burak Akgül, Bülent Sankur, Franc...
ECCV
2004
Springer
14 years 9 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
MVA
2002
178views Computer Vision» more  MVA 2002»
13 years 7 months ago
Advanced Image Retrieval Using Multi-resolution Image Content
We introduce an image retrieval method for searchingan image database by using a query image that has similarity in its global and/or regional image contents to the intended targe...
Motohide Yoshimura, Hajime Kiyose, Shigeo Abe