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ICIP
2005
IEEE
16 years 11 days ago
Improving performance of interactive categorization of images using relevance feedback
When using relevance feedback for the interactive categorization of images, the strategy employed by the system to select images to be presented to the user is of paramount import...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
BMCBI
2010
103views more  BMCBI 2010»
14 years 11 months ago
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the...
Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S....
ICML
2010
IEEE
14 years 11 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
IVS
2007
64views more  IVS 2007»
14 years 10 months ago
Workshop report: information visualization-human-centered issues in visual representation, interaction, and evaluation
From 28 May to 1 June 2007, a seminar on 'Information Visualization–HumanCentered Issues in Visual Representation, Interaction, and Evaluation' took place at the Inter...
Andreas Kerren, John T. Stasko, Jean-Daniel Fekete...
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 4 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu