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» Learning image manifolds by semantic subspace projection
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MM
2006
ACM
203views Multimedia» more  MM 2006»
13 years 10 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
TKDE
2008
195views more  TKDE 2008»
13 years 4 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
MM
2004
ACM
248views Multimedia» more  MM 2004»
13 years 10 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ICPR
2010
IEEE
13 years 4 months ago
Detection of Salient Image Points Using Principal Subspace Manifold Structure
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
António R. C. Paiva, Tolga Tasdizen
CVPR
2007
IEEE
14 years 6 months ago
Mapping Natural Image Patches by Explicit and Implicit Manifolds
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...
Kent Shi, Song Chun Zhu