733 search results - page 107 / 147 » Learning Riemannian Metrics |
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
ICDM
2002
IEEE
14 years 16 days ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
MLDM
1999
Springer
13 years 12 months ago
1999
Springer
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They suer from unequal dierential relevance of features in comput...
ACL
2006
13 years 9 months ago
2006
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...