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» On the second derivative of a Gaussian process envelope
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ICML
2005
IEEE
16 years 2 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
ICASSP
2008
IEEE
15 years 8 months ago
Voice source cepstrum coefficients for speaker identification
We propose a novel feature set for speaker recognition that is based on the voice source signal. The feature extraction process uses closed-phase LPC analysis to estimate the voca...
Jon Gudnason, Mike Brookes
ICIP
2007
IEEE
16 years 3 months ago
P-Laplacian Driven Image Processing
In this work, we take a novel line of approaches to evolve images. It is motivated by the total variation method, known for its denoising and edge-preserving effect. Our approach ...
Arjan Kuijper
92
Voted
CORR
2007
Springer
120views Education» more  CORR 2007»
15 years 1 months ago
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory
—For a stationary additive Gaussian-noise channel with a rational noise power spectrum of a finite-order L, we derive two new results for the feedback capacity under an average ...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
BMVC
2002
15 years 4 months ago
Practical Generation of Video Textures using the Auto-Regressive Process
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
Neill W. Campbell, Colin J. Dalton, David P. Gibso...