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» A Probability Model for Combining Ranks
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CAIP
2003
Springer
164views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Face Recognition by Fisher and Scatter Linear Discriminant Analysis
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
Miroslaw Bober, Krzysztof Kucharski, Wladyslaw Ska...
IJCV
2011
264views more  IJCV 2011»
14 years 6 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
JMLR
2010
105views more  JMLR 2010»
14 years 6 months ago
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
In this study, we combined the ChIP-seq and the transcriptome data and integrated these data into signaling cascades. Integration was realized through a framework based on data- a...
Zerrin Isik, Volkan Atalay, Rengül Çet...
IJCAI
1993
15 years 1 months ago
Learning Finite Automata Using Local Distinguishing Experiments
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
Wei-Mein Shen
RIAO
2007
15 years 1 months ago
Capturing Sentence Prior for Query-Based Multi-Document Summarization
In this paper, we have considered a real world information synthesis task, generation of a fixed length multi document summary which satisfies a specific information need. This...
Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Va...