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146
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TIP
2010
182views more  TIP 2010»
14 years 7 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
TNN
2010
234views Management» more  TNN 2010»
14 years 7 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
101
Voted
IEEEARES
2008
IEEE
15 years 6 months ago
haplog: A Hash-Only and Privacy-Preserved Secure Logging Mechanism
A secure logging mechanism named haplog is proposed. In essence, haplog uses only one-way hash functions to achieve the security and functional requirements of logging. This makes...
Chih-Yin Lin
103
Voted
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 26 days ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
98
Voted
EAAI
2006
157views more  EAAI 2006»
15 years 14 days ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...