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» Learning from Highly Structured Data by Decomposition
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HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
16 years 3 days ago
Learning Effectiveness in Web-Based Technology-Mediated Virtual Learning Environment
A framework that delineates the relationships between learner control and learning effectiveness is absent. This study aims to fill this void. Unlike previous research, this study...
Shih-Wei Chou, Chien-Hung Liu
TSP
2010
15 years 1 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
FUIN
2008
108views more  FUIN 2008»
15 years 5 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
ACCV
2010
Springer
15 years 1 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
TSP
2008
109views more  TSP 2008»
15 years 6 months ago
Constrained Tensor Modeling Approach to Blind Multiple-Antenna CDMA Schemes
In this paper, we consider an uplink multiple-antenna Code-Division Multiple-Access (CDMA) system linking several multiple-antenna mobile users to one multiple-antenna base-statio...
André L. F. de Almeida, Gérard Favie...