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» A new approach to data driven clustering
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PAMI
2011
13 years 2 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
CVPR
2009
IEEE
15 years 2 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
SIGIR
2003
ACM
14 years 28 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways
Background: Pathways provide topical descriptions of cellular circuitry. Comparing analogous pathways reveals intricate insights into individual functional differences among speci...
Adi Mano, Tamir Tuller, Oded Béjà, R...
CIKM
2007
Springer
14 years 1 months ago
Optimal proactive caching in peer-to-peer network: analysis and application
As a promising new technology with the unique properties like high efficiency, scalability and fault tolerance, Peer-toPeer (P2P) technology is used as the underlying network to b...
Weixiong Rao, Lei Chen 0002, Ada Wai-Chee Fu, Ying...