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ATAL
2009
Springer
16 years 1 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
218
Voted
SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ICIP
2002
IEEE
16 years 8 months ago
Reconstruction of irregularly-sampled images by regularization in spline spaces
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline repres...
Carlos Vázquez, Eric Dubois, Janusz Konrad
203
Voted
CVPR
2010
IEEE
16 years 3 months ago
Simultaneous Point Matching and 3D Deformable Surface Reconstruction
It has been shown that the 3D shape of a deformable surface in an image can be recovered by establishing correspondences between that image and a reference one in which the shape ...
Appu Shaji, Aydin Varol, Lorenzo Torresani, Pascal...
KI
2009
Springer
16 years 1 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...