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» MILIS: Multiple Instance Learning with Instance Selection
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CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
WICSA
2008
13 years 9 months ago
Analysis of Architecture Pattern Usage in Legacy System Architecture Documentation
Architecture patterns are an important tool in architectural design. However, while many architecture patterns have been identified, there is little in-depth understanding of thei...
Neil B. Harrison, Paris Avgeriou
VLSID
2010
IEEE
155views VLSI» more  VLSID 2010»
13 years 5 months ago
Synchronized Generation of Directed Tests Using Satisfiability Solving
Directed test generation is important for the functional verification of complex system-on-chip designs. SAT based bounded model checking is promising for counterexample generatio...
Xiaoke Qin, Mingsong Chen, Prabhat Mishra
ICASSP
2009
IEEE
14 years 2 months ago
Visual saliency with side information
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Wei Jiang, Lexing Xie, Shih-Fu Chang
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
13 years 11 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...