Sciweavers

1416 search results - page 221 / 284
» The Kernel Least-Mean-Square Algorithm
Sort
View
CVPR
2005
IEEE
16 years 7 months ago
Graph Embedding: A General Framework for Dimensionality Reduction
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...

Book
778views
17 years 3 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 11 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
SIGMOD
2009
ACM
120views Database» more  SIGMOD 2009»
16 years 5 months ago
Kernel-based skyline cardinality estimation
The skyline of a d-dimensional dataset consists of all points not dominated by others. The incorporation of the skyline operator into practical database systems necessitates an ef...
Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papa...
CIKM
2009
Springer
15 years 11 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua