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JMLR
2011
192views more  JMLR 2011»
13 years 2 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
CIKM
2011
Springer
12 years 7 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
TVCG
2008
148views more  TVCG 2008»
13 years 7 months ago
Globally Optimal Surface Mapping for Surfaces with Arbitrary Topology
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental problem in graphics and such a method provides us a ubiquitous tool for geometric mo...
Xin Li, Yunfan Bao, Xiaohu Guo, Miao Jin, Xianfeng...
SIGMOD
2003
ACM
166views Database» more  SIGMOD 2003»
14 years 7 months ago
Statistical Schema Matching across Web Query Interfaces
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang
WISEC
2010
ACM
13 years 7 months ago
Mobile user location-specific encryption (MULE): using your office as your password
Data breaches due to stolen laptops are a major problem. Solutions exist to secure sensitive files on laptops, but are rarely deployed because users view them as inconvenient. Thi...
Ahren Studer, Adrian Perrig