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» HINT: A new way to measure computer performance
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143
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ICPR
2006
IEEE
15 years 8 months ago
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
Andreas Klaus, Mario Sormann, Konrad F. Karner
NAACL
2010
14 years 11 months ago
Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...
Zornitsa Kozareva, Eduard H. Hovy
CGF
2008
125views more  CGF 2008»
15 years 2 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
ICCI
1993
15 years 6 months ago
The Perfect and Imperfect Clocks Approach to Performance Analysis of Basic Timestamp Ordering in Distributed Databases
Locking and timestamping are two popular approaches to concurrency control in databases systems. Although more than a dozen analytic performance studies of locking techniques have...
Christos Bouras, Paul G. Spirakis
131
Voted
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 7 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks