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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
11 years 10 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
ICDE
2006
IEEE
169views Database» more  ICDE 2006»
14 years 8 months ago
Making Designer Schemas with Colors
XML schema design has two opposing goals: elimination of update anomalies requires that the schema be as normalized as possible; yet higher query performance and simpler query exp...
Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lak...
ICPR
2008
IEEE
14 years 8 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
GIS
2007
ACM
14 years 8 months ago
Smugglers and border guards: the GeoStar project at RPI
We present the GeoStar project at RPI, which researches various terrain (i.e., elevation) representations and operations thereon. This work is motivated by the large amounts of hi...
W. Randolph Franklin, Metin Inanc, Zhongyi Xie, Da...
SPAA
2009
ACM
14 years 8 months ago
On randomized representations of graphs using short labels
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
Pierre Fraigniaud, Amos Korman