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118
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JMLR
2008
209views more  JMLR 2008»
15 years 18 days ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
109
Voted
JNCA
2006
92views more  JNCA 2006»
15 years 17 days ago
Cards-to-presentation on the web: generating multimedia contents featuring agent animations
With the goal of supporting the knowledge circulation and creation process in a society, we have studied story-based communication in a network community. On the basis of this res...
Yukiko I. Nakano, Toshihiro Murayama, Masashi Okam...
96
Voted
NN
2008
Springer
114views Neural Networks» more  NN 2008»
15 years 17 days ago
Event detection and localization for small mobile robots using reservoir computing
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
110
Voted
NETWORK
2006
290views more  NETWORK 2006»
15 years 17 days ago
Progressive multi gray-leveling: a voice spam protection algorithm
As voice over IP gains popularity, it is easy to imagine that Internet hacking and other security problems we currently face with email spam will attack the VoIP environment. In c...
Dongwook Shin, Jinyoung Ahn, Choon Shim
105
Voted
JCP
2007
100views more  JCP 2007»
15 years 15 days ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...