34 search results - page 3 / 7 » Using Clustering to Learn Distance Functions for Supervised ... |
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
SSDBM
2009
IEEE
14 years 29 days ago
2009
IEEE
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
ICMCS
2006
IEEE
14 years 8 days ago
2006
IEEE
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...