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JMLR
2006
148views more  JMLR 2006»
13 years 7 months ago
Walk-Sums and Belief Propagation in Gaussian Graphical Models
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Wil...
MONET
2006
107views more  MONET 2006»
13 years 7 months ago
Utilization and fairness in spectrum assignment for opportunistic spectrum access
The Open Spectrum approach to spectrum access can achieve near-optimal utilization by allowing devices to sense and utilize available spectrum opportunistically. However, a naive d...
Chunyi Peng, Haitao Zheng, Ben Y. Zhao
PAMI
2008
135views more  PAMI 2008»
13 years 7 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
PAMI
2006
147views more  PAMI 2006»
13 years 7 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
TASLP
2008
101views more  TASLP 2008»
13 years 7 months ago
Speaker Identification Using Instantaneous Frequencies
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
Marco Grimaldi, Fred Cummins