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» Approximation Algorithms for Min-Max Generalization Problems
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IR
2010
13 years 7 months ago
A general approximation framework for direct optimization of information retrieval measures
Recently direct optimization of information retrieval (IR) measures becomes a new trend in learning to rank. Several methods have been proposed and the effectiveness of them has ...
Tao Qin, Tie-Yan Liu, Hang Li
GBRPR
2005
Springer
14 years 2 months ago
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
Tibério S. Caetano, Terry Caelli
TCS
2008
13 years 8 months ago
Approximation algorithms for partially covering with edges
The edge dominating set (EDS) and edge cover (EC) problems are classical graph covering problems in which one seeks a minimum cost collection of edges which covers the edges or ve...
Ojas Parekh
ICCV
2005
IEEE
14 years 10 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 5 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...