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» Parameterized Complexity and Approximation Algorithms
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123
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APPROX
2008
Springer
83views Algorithms» more  APPROX 2008»
15 years 5 months ago
Sampling Hypersurfaces through Diffusion
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
Hariharan Narayanan, Partha Niyogi
ICDT
2010
ACM
125views Database» more  ICDT 2010»
15 years 7 months ago
Synthesizing View Definitions from Data
Given a database instance and a corresponding view instance, we address the view definitions problem (VDP): Find the most succinct and accurate view definition, when the view quer...
Anish Das Sarma, Aditya Parameswaran, Hector Garci...
EDBT
2009
ACM
119views Database» more  EDBT 2009»
15 years 6 months ago
Unrestricted wavelet synopses under maximum error bound
Constructing Haar wavelet synopses under a given approximation error has many real world applications. In this paper, we take a novel approach towards constructing unrestricted Ha...
Chaoyi Pang, Qing Zhang, David P. Hansen, Anthony ...
140
Voted
TIP
2008
128views more  TIP 2008»
15 years 3 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
133
Voted
UAI
2004
15 years 4 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling