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JMLR
2010
149views more  JMLR 2010»
13 years 3 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
JMLR
2010
230views more  JMLR 2010»
13 years 3 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ICCV
2011
IEEE
12 years 9 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
ICDE
2009
IEEE
255views Database» more  ICDE 2009»
14 years 10 months ago
Database Management as a Service: Challenges and Opportunities
Data outsourcing or database as a service is a new paradigm for data management in which a third party service provider hosts a database as a service. The service provides data man...
Ahmed Metwally, Amr El Abbadi, Divyakant Agrawal, ...
ISI
2008
Springer
13 years 9 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh