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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 9 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 9 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
VLDB
2005
ACM
149views Database» more  VLDB 2005»
14 years 9 months ago
Selectivity estimators for multidimensional range queries over real attributes
Estimating the selectivity of multidimensional range queries over real valued attributes has significant applications in data exploration and database query optimization. In this p...
Dimitrios Gunopulos, George Kollios, Vassilis J. T...
OOPSLA
2005
Springer
14 years 2 months ago
Demand-driven points-to analysis for Java
We present a points-to analysis technique suitable for environments with small time and memory budgets, such as just-in-time (JIT) compilers and interactive development environmen...
Manu Sridharan, Denis Gopan, Lexin Shan, Rastislav...
CVIU
2008
126views more  CVIU 2008»
13 years 8 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong