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» Geometric Clustering Using the Information Bottleneck Method
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CVPR
2001
IEEE
16 years 4 days ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
NPIV
1998
ACM
108views Visualization» more  NPIV 1998»
15 years 2 months ago
Visualization for situation awareness
We explore techniques from visualization and computational geometry to make tactical information more intuitive to a military commander. To be successful, the commander must quick...
C. M. Hoffman, Y.-J. Kim, R. P. Winkler, J. D. Wal...
BMCBI
2007
152views more  BMCBI 2007»
14 years 10 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
97
Voted
TIP
2011
255views more  TIP 2011»
14 years 5 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
14 years 11 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...