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» Kernels for Semi-Structured Data
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SIGOPS
2008
104views more  SIGOPS 2008»
15 years 21 days ago
PipesFS: fast Linux I/O in the unix tradition
This paper presents PipesFS, an I/O architecture for Linux 2.6 that increases I/O throughput and adds support for heterogeneous parallel processors by (1) collapsing many I/O inte...
Willem de Bruijn, Herbert Bos
91
Voted
JUCS
2007
124views more  JUCS 2007»
15 years 20 days ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang
PAMI
2007
202views more  PAMI 2007»
15 years 9 days ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
93
Voted
ICASSP
2011
IEEE
14 years 4 months ago
The Bayesian inference of phase
Bayesian recursive inference of phase in additive Gaussian noise environments is studied. A tractable conjugate system is established using a von Mises distribution. Its shaping p...
Anthony Quinn, Jean-Pierre Barbot, Pascal Larzabal
JMLR
2012
13 years 3 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu