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ICML
2006
IEEE
16 years 4 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
MCS
2008
Springer
15 years 4 months ago
On the stability analysis of nonlinear systems using polynomial Lyapunov functions
In the stability study of nonlinear systems, not to found feasible solution for the LMI problem associated with a quadratic Lyapunov function shows that it doesn't exist posi...
Hajer Bouzaouache, Naceur Benhadj Braiek
CVPR
2006
IEEE
16 years 6 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
HICSS
2003
IEEE
90views Biometrics» more  HICSS 2003»
15 years 9 months ago
A Prototype for Multiple Whole Genome Alignment
In this paper, we briefly describe a prototype of the software system we have developed for multiple whole genome alignment. To develop our algorithm, we have to solve several pr...
Jitender S. Deogun, Fangrui Ma, Jingyi Yang, Andre...
ICML
2010
IEEE
15 years 5 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun