2878 search results - page 175 / 576 » Learning the Common Structure of Data |
156
click to vote
PLDI
2012
ACM
13 years 6 months ago
2012
ACM
Automatic parallelization is a promising strategy to improve application performance in the multicore era. However, common programming practices such as the reuse of data structur...
135
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
130
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
161
click to vote
TSP
2010
14 years 10 months ago
2010
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
151
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...