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» Classification by Discriminative Regularization
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CVPR
2007
IEEE
16 years 3 months ago
Learning Visual Representations using Images with Captions
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ICIP
2005
IEEE
16 years 3 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...
ICIP
2002
IEEE
16 years 3 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
CHI
2009
ACM
16 years 2 months ago
MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
The input vocabulary for touch--screen interaction on handhelds is dramatically limited, especially when the thumb must be used. To enrich that vocabulary we propose to discrimina...
Anne Roudaut, Eric Lecolinet, Yves Guiard
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 1 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...