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CVPR
2006
IEEE
15 years 11 months ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
VVS
1998
IEEE
120views Visualization» more  VVS 1998»
15 years 1 months ago
Using Distance Maps for Accurate Surface Representation in Sampled Volumes
High quality rendering and physics-based modeling in volume graphics have been limited because intensity-based volumetric data do not represent surfaces well. High spatial frequen...
Sarah F. Frisken Gibson
ISMB
1993
14 years 10 months ago
Integrating Order and Distance Relationships from Heterogeneous Maps
There is no automatic mechanism to integrate information between heterogeneous genome maps. Currently, integration is a di cult, manual process. We have developed a process for kn...
Mark Graves
ICANN
2005
Springer
15 years 3 months ago
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
Giorgos Sfikas, Constantinos Constantinopoulos, Ar...
ICIP
2002
IEEE
15 years 11 months ago
DPF - a perceptual distance function for image retrieval
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
Baitao Li Chang, E. Ching-Tung Wu