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» Learning the structure of manifolds using random projections
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GRAPHICSINTERFACE
2001
13 years 9 months ago
Watermarking 3D Polygonal Meshes in the Mesh Spectral Domain
Digital watermarking embeds a structure called watermark into the target data, such as image and 3D polygonal models. The watermark can be used, for example, to enforce copyright ...
Ryutarou Ohbuchi, Shigeo Takahashi, Takahiko Miyaz...
ELPUB
2006
ACM
14 years 2 months ago
Modelling a Layer for Real-Time Management of Interactions in Web Based Distance Learning
In the last few years, the University of Aveiro, Portugal, has been offering several distance learning courses over the Web, using e-learning platforms. Experience showed that dif...
Carlos Sousa Pinto, Fernando M. S. Ramos
ECCV
2008
Springer
14 years 10 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
ATAL
2006
Springer
14 years 5 days ago
Probabilistic policy reuse in a reinforcement learning agent
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
Fernando Fernández, Manuela M. Veloso
JMLR
2010
115views more  JMLR 2010»
13 years 6 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...