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» A new approach to data driven clustering
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ICPR
2010
IEEE
14 years 7 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
AVSS
2009
IEEE
15 years 4 months ago
Clustered Synopsis of Surveillance Video
—Millions of surveillance cameras record video around the clock, producing huge video archives. Even when a video archive is known to include critical activities, finding them i...
Yael Pritch, Sarit Ratovitch, Avishai Hendel, Shmu...
ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
14 years 11 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu
BMCBI
2007
177views more  BMCBI 2007»
14 years 9 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni