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» Grasp Analysis as Linear Matrix Inequality Problems
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JMLR
2008
169views more  JMLR 2008»
13 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
GLOBECOM
2010
IEEE
13 years 7 months ago
Passively Controllable Smart Antennas
Abstract-- This work deals with devising a secure, powerefficient, beam-steerable and on-chip transmission system for wireless sensor networks. A passively controllable smart (PCS)...
Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John ...
CVPR
2005
IEEE
14 years 8 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
ADCM
1998
133views more  ADCM 1998»
13 years 8 months ago
Numerical exploitation of symmetry in integral equations
: Linear integral operators describing physical problems on symmetric domains often are equivariant, which means that they commute with certain symmetries, i.e., with a group of or...
Eugene L. Allgower, Kurt Georg
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 24 days ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh