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» Metric and Kernel Learning Using a Linear Transformation
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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 1 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
AAAI
2008
15 years 4 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
LCPC
2004
Springer
15 years 7 months ago
Empirical Performance-Model Driven Data Layout Optimization
Abstract. Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of l...
Qingda Lu, Xiaoyang Gao, Sriram Krishnamoorthy, Ge...
CPM
2004
Springer
84views Combinatorics» more  CPM 2004»
15 years 7 months ago
Small Phylogeny Problem: Character Evolution Trees
Abstract. Phylogenetics is a science of determining connections between groups of organisms in terms of ancestor/descendent relationships, usually expressed by phylogenetic trees, ...
Arvind Gupta, Ján Manuch, Ladislav Stacho, ...
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PAMI
1998
170views more  PAMI 1998»
15 years 1 months ago
Ordinal Measures for Image Correspondence
—We present ordinal measures of association for image correspondence in the context of stereo. Linear correspondence measures like correlation and the sum of squared difference b...
Dinkar N. Bhat, Shree K. Nayar