1301 search results - page 162 / 261 » Default Clustering from Sparse Data Sets |
WAPCV
2007
Springer
14 years 3 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
NPL
1998
13 years 8 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
APBC
2004
13 years 10 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...