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» Quantizing Density Estimators
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DCC
2011
IEEE
13 years 2 months ago
Distributed Quantization of Order Statistics with Applications to CSI Feedback
Feedback of channel state information (CSI) in wireless systems is essential in order to exploit multi-user diversity and achieve the highest possible performace. When each spatia...
Matthew Pugh, Bhaskar D. Rao
ICML
2008
IEEE
14 years 8 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
INFORMATICALT
2011
126views more  INFORMATICALT 2011»
13 years 2 months ago
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map
Abstract. In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A ...
Olga Kurasova, Alma Molyte
TNN
1998
112views more  TNN 1998»
13 years 7 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
ECCV
2010
Springer
14 years 26 days ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...