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ICA
2010
Springer
13 years 9 months ago
Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
Benedikt Loesch, Bin Yang
ICASSP
2011
IEEE
13 years 19 days ago
A complete ensemble empirical mode decomposition with adaptive noise
In this paper an algorithm based on the ensemble empirical mode decomposition (EEMD) is presented. The key idea on the EEMD relies on averaging the modes obtained by EMD applied t...
María Eugenia Torres, Marcelo A. Colominas,...
ENDM
2010
91views more  ENDM 2010»
13 years 6 months ago
Climbing discrepancy search for flowshop and jobshop scheduling with time lags
This paper addresses the jobshop and the flowshop scheduling problems with minimum and maximum time lags. To solve this kind of problems, we propose adaptations of Climbing Discre...
Wafa Karoui, Marie-José Huguet, Pierre Lope...
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 2 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen