164 search results - page 7 / 33 » Clustering Rules Using Empirical Similarity of Support Sets |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play...
GFKL
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
AMAI
2002
Springer
14 years 9 months ago
2002
Springer
: It is claimed that human inferential apparatus offers interesting ground in order to consider the intuitions of artificial intelligence researchers about the inference patterns a...
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...