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» On Feature Extraction via Kernels
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BMCBI
2006
166views more  BMCBI 2006»
13 years 10 months ago
Extraction of phylogenetic network modules from the metabolic network
Background: In bio-systems, genes, proteins and compounds are related to each other, thus forming complex networks. Although each organism has its individual network, some organis...
Takuji Yamada, Minoru Kanehisa, Susumu Goto
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
CVPR
2007
IEEE
14 years 12 months ago
Image Matching via Saliency Region Correspondences
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
ICML
2004
IEEE
14 years 10 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
IJON
2010
139views more  IJON 2010»
13 years 8 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu