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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 7 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ICFP
2006
ACM
14 years 8 months ago
Extensible programming with first-class cases
We present language mechanisms for polymorphic, extensible records and their exact dual, polymorphic sums with extensible first-class cases. These features make it possible to eas...
Matthias Blume, Umut A. Acar, Wonseok Chae
SC
1995
ACM
14 years 8 days ago
Analysis of Multilevel Graph Partitioning
Recently, a number of researchers have investigated a class of algorithms that are based on multilevel graph partitioning that have moderate computational complexity, and provide ...
George Karypis, Vipin Kumar
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 8 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling