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141
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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
130
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IH
1999
Springer
15 years 7 months ago
A Stochastic Approach to Content Adaptive Digital Image Watermarking
This paper presents a new stochastic approach which can be applied with di erent watermark techniques. The approach is based on the computation of a Noise Visibility Function NVF...
Sviatoslav Voloshynovskiy, Alexander Herrigel, Naz...
94
Voted
ACCV
2006
Springer
15 years 8 months ago
3D Shape Recovery of Smooth Surfaces: Dropping the Fixed Viewpoint Assumption
We present a new method for recovering the 3D shape of a featureless smooth surface from three or more calibrated images. The main contribution of this paper is the ability to hand...
Yael Moses, Ilan Shimshoni
136
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BMCBI
2011
14 years 6 months ago
Smith-Waterman Peak Alignment for Comprehensive Two-dimensional Gas Chromatography Mass Spectrometry
Background: Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GCMS) is a powerful technique which has gained increasing attention over the las...
Seongho Kim, Imhoi Koo, Aiqin Fang, Xiang Zhang
127
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JSAC
2010
138views more  JSAC 2010»
15 years 1 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar