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» An Instance Selection Approach to Multiple Instance Learning
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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 3 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
CVPR
2010
IEEE
15 years 2 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
ATAL
2009
Springer
15 years 4 months ago
Stable multi-project scheduling of airport ground handling services by heterogeneous agents
This paper addresses decentralized multi-project scheduling under uncertainty. The problem instance we study is the scheduling of airport ground handling services, where aircraft ...
Xiaoyu Mao, Nico Roos, Alfons H. Salden
IJCAI
2007
14 years 11 months ago
Emergence of Norms through Social Learning
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...
Sandip Sen, Stéphane Airiau
ICIP
2007
IEEE
15 years 11 months ago
Multiple Description Video Transcoding
In this paper we introduce the concept of multiple description video transcoding (MDVT). MDVT converts a single description encoded video into two or more descriptions at an interm...
Ali El Essaili, Shoaib Khan, Wolfgang Kellerer, Ec...