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UAI
2008
13 years 10 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
NAACL
2003
13 years 10 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
TSP
2008
179views more  TSP 2008»
13 years 9 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
TCOM
2010
90views more  TCOM 2010»
13 years 7 months ago
Performance Analysis for BICM Transmission over Gaussian Mixture Noise Fading Channels
—Bit-interleaved coded modulation (BICM) has been adopted in many systems and standards for spectrally efficient coded transmission. The analytical evaluation of BICM performanc...
Alireza Kenarsari-Anhari, Lutz H.-J. Lampe
TIT
2011
148views more  TIT 2011»
13 years 4 months ago
On Two-User Gaussian Multiple Access Channels With Finite Input Constellations
—Constellation Constrained (CC) capacity regions of two-user Single-Input Single-Output (SISO) Gaussian Multiple Access Channels (GMAC) are computed for several Non-Orthogonal Mu...
Jagadeesh Harshan, Bikash Sundar Rajan