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ICITA
2005
IEEE
15 years 7 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
INFOCOM
2005
IEEE
15 years 7 months ago
Exploiting diversity to enhance multimedia streaming over cellular links
Abstract— Wireless Wide Area Networks (WWANs) are becoming ubiquitous across most geographic regions, enabling simultaneous coverage from multiple providers. WWAN channels exhibi...
Julian Chesterfield, Rajiv Chakravorty, Ian Pratt,...
ECOOP
1995
Springer
15 years 5 months ago
Experience Using Design Patterns to Evolve Communication Software Across Diverse OS Platforms
Design patterns help to improve communication software quality since they address a fundamental challenge in largescale software development: communicationof architectural knowled...
Douglas C. Schmidt, Paul Stephenson
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 3 months ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
ICML
2010
IEEE
14 years 12 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...