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» Extremal Optimization: Methods derived from Co-Evolution
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ECML
2006
Springer
14 years 1 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
TASLP
2008
140views more  TASLP 2008»
13 years 10 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
ICCS
2007
Springer
14 years 4 months ago
Optimizing Surface Triangulation Via Near Isometry with Reference Meshes
Optimization of the mesh quality of surface triangulation is critical for advanced numerical simulations and is challenging under the constraints of error minimization and density ...
Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha
OL
2007
121views more  OL 2007»
13 years 9 months ago
Global optimization by continuous grasp
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the dom...
Michael J. Hirsch, Cláudio Nogueira de Mene...
ICIP
2005
IEEE
14 years 11 months ago
A modified FCM with optimal Peano scans for image segmentation
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature ...
Adel Hafiane, Bertrand Zavidovique, Subhasis Chaud...