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FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 1 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
ICC
2008
IEEE
115views Communications» more  ICC 2008»
14 years 1 months ago
Sliding-Window Algorithm for Asynchronous Cooperative Sensing in Wireless Cognitive Networks
—To improve the performance of spectrum sensing, cooperation among Cognitive Radios (CRs) has been proposed recently as an effective solution. Most existing works require either ...
Chengqi Song, Qian Zhang
IJCNN
2008
IEEE
14 years 1 months ago
Batch-Learning Self-Organizing Map with false-neighbor degree between neurons
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...
Haruna Matsushita, Yoshifumi Nishio
PDP
2008
IEEE
14 years 1 months ago
Out-of-Core Wavefront Computations with Reduced Synchronization
Matrix computation algorithms often exhibit dependencies between neighboring elements inside loop nests such that the frontier between computed elements and those to be computed w...
Pierre-Nicolas Clauss, Jens Gustedt, Fréd&e...
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
14 years 1 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....