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AIPS
2007
14 years 12 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
TASLP
2010
137views more  TASLP 2010»
14 years 8 months ago
High-Pitch Formant Estimation by Exploiting Temporal Change of Pitch
—This paper considers the problem of obtaining an accurate spectral representation of speech formant structure when the voicing source exhibits a high fundamental frequency. Our ...
Tianyu T. Wang, Thomas F. Quatieri
ACCV
2009
Springer
15 years 4 months ago
Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences
Abstract. Intensity based registration methods, such as the mutual information (MI), do not commonly consider the spatial geometric information and the initial correspondences are ...
Hongwei Zheng, Ioan Cleju, Dietmar Saupe
JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
CF
2008
ACM
14 years 11 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer