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» Modelling Smooth Paths Using Gaussian Processes
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FSR
2007
Springer
106views Robotics» more  FSR 2007»
15 years 7 months ago
Modelling Smooth Paths Using Gaussian Processes
Christopher Tay Meng Keat, Christian Laugier
NAACL
2003
15 years 2 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
ICIP
2006
IEEE
16 years 3 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
IJCNLP
2004
Springer
15 years 6 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer
ETT
2002
92views Education» more  ETT 2002»
15 years 1 months ago
Most probable paths and performance formulae for buffers with gaussian input traffic
In this paper, performance formulae for a queue serving Gaussian traffic are presented. The main technique employed is motivated by a general form of Schilder's theorem, the ...
Ron Addie, Petteri Mannersalo, Ilkka Norros