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ICPR
2008
IEEE
16 years 1 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
90
Voted
COLT
2007
Springer
15 years 6 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
87
Voted
ICML
2006
IEEE
16 years 1 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
82
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PDP
2007
IEEE
15 years 7 months ago
SockMi: a solution for migrating TCP/IP connections
SockMi is a solution for the migration of TCP/IP connections between Linux systems. Only the migrating peer of the connection needs to reside on a Linux system. The migration is c...
Massimo Bernaschi, Francesco Casadei, Paolo Tassot...
JMLR
2007
104views more  JMLR 2007»
15 years 18 days ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou