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» Accelerated Kernel Feature Analysis
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JMLR
2010
133views more  JMLR 2010»
13 years 2 months ago
Exclusive Lasso for Multi-task Feature Selection
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
Yang Zhou, Rong Jin, Steven C. H. Hoi
PLDI
2011
ACM
12 years 10 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
TNN
2008
128views more  TNN 2008»
13 years 7 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
PR
2010
186views more  PR 2010»
13 years 6 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
ESOP
2007
Springer
14 years 2 months ago
Type-Based Analysis of Deadlock for a Concurrent Calculus with Interrupts
The goal of our research project is to establish a type-based method for verification of certain critical properties (such as deadlockand race-freedom) of operating system kernels...
Kohei Suenaga, Naoki Kobayashi