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» Optimizing Learning in Image Retrieval
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PAMI
2012
12 years 16 days ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
ICIP
2004
IEEE
14 years 11 months ago
Steganalysis of quantization index modulation data hiding
Quantization index modulation (QIM) techniques have been gaining popularity in the data hiding community because of their robustness and information-theoretic optimality against a...
Kenneth Sullivan, Zhiqiang Bi, Upamanyu Madhow, Sh...
ICCV
2005
IEEE
15 years 1 days ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
14 years 4 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
CVPR
2011
IEEE
13 years 6 months ago
A Deformation and Lighting Insensitive Metric for Face Recognition
Face recognition is a challenging problem, complicated by variations in pose, expression, lighting, and the passage of time. Significant work has been done to solve each of these...
Anne Jorstad, David Jacobs, Alain Trouvé