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» Consistent Minimization of Clustering Objective Functions
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PVLDB
2008
127views more  PVLDB 2008»
14 years 9 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
92
Voted
SSIAI
2000
IEEE
15 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
JMLR
2006
96views more  JMLR 2006»
14 years 9 months ago
A Hierarchy of Support Vector Machines for Pattern Detection
We introduce a computational design for pattern detection based on a tree-structured network of support vector machines (SVMs). An SVM is associated with each cell in a recursive ...
Hichem Sahbi, Donald Geman
CGF
2006
183views more  CGF 2006»
14 years 9 months ago
Data-driven Local Coordinate Systems for Image-Based Rendering
Image-based representations of an object profit from known geometry. The more accurate this geometry is known, the better corresponding pixels in the different images can be align...
Gero Müller, Ralf Sarlette, Reinhard Klein
99
Voted
ICCAD
2009
IEEE
147views Hardware» more  ICCAD 2009»
14 years 7 months ago
SAT-based protein design
Computational protein design can be formulated as an optimization problem, where the objective is to identify the sequence of amino acids that minimizes the energy of a given prot...
Noah Ollikainen, Ellen Sentovich, Carlos Coelho, A...