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ICMLA
2009
13 years 5 months ago
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
Yangfeng Ji, Tong Lin, Hongbin Zha
PR
2006
167views more  PR 2006»
13 years 7 months ago
Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
Fusing the scores of several biometric systems is a very promising approach to improve the overall system's accuracy. Despite many works in the literature, it is surprising t...
Norman Poh, Samy Bengio
ICDE
2007
IEEE
158views Database» more  ICDE 2007»
14 years 9 months ago
Efficient Evaluation of Imprecise Location-Dependent Queries
In location-based services, it is common for a user to issue a query based on his/her current position. One such example is "find the available cabs within two miles of my cu...
Jinchuan Chen, Reynold Cheng
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 9 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
ICALT
2005
IEEE
14 years 1 months ago
The Effect of Correlation on the Accuracy of Meta-Learning Approach
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
Li-ying Yang, Zheng Qin