294 search results - page 42 / 59 » Optimized fixed-size kernel models for large data sets |
JMLR
2010
13 years 7 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
BMCBI
2008
13 years 8 months ago
2008
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Depth-map merging is one typical technique category for multi-view stereo (MVS) reconstruction. To guarantee accuracy, existing algorithms usually require either sub-pixel level s...
WSDM
2012
ACM
12 years 4 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...