4578 search results - page 694 / 916 » Learning from Multi-source Data |
244
click to vote
CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
170
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
123
click to vote
ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
136
click to vote
MICCAI
2009
Springer
16 years 7 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
150
Voted
KDD
2005
ACM
16 years 6 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...