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113
Voted
CVPR
2010
IEEE
15 years 9 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
120
Voted
IPPS
1996
IEEE
15 years 5 months ago
Study of Scalable Declustering Algorithms for Parallel Grid Files
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
Bongki Moon, Anurag Acharya, Joel H. Saltz
AAAI
2006
15 years 2 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
99
Voted
VRML
2010
ACM
15 years 1 months ago
Remote scientific visualization of progressive 3D meshes with X3D
This paper presents a framework, integrated into the X3D file format, for the streaming of 3D content in the context of remote scientific visualization; a progressive mesh compres...
Adrien Maglo, Ho Lee, Guillaume Lavoué, Chr...
151
Voted
ECCV
2010
Springer
15 years 1 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani