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DAC
2012
ACM
13 years 7 months ago
On software design for stochastic processors
Much recent research [8, 6, 7] suggests significant power and energy benefits of relaxing correctness constraints in future processors. Such processors with relaxed constraints ...
Joseph Sloan, John Sartori, Rakesh Kumar
AAAI
2012
13 years 7 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
CVPR
2004
IEEE
16 years 7 months ago
Real-Time Combined 2D+3D Active Appearance Models
Active Appearance Models (AAMs) are generative models commonly used to model faces. Another closely related type of face models are 3D Morphable Models (3DMMs). Although AAMs are ...
Jing Xiao, Simon Baker, Iain Matthews, Takeo Kanad...
ICCV
2007
IEEE
16 years 7 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ICCV
2007
IEEE
16 years 7 months ago
Capacity Scaling for Graph Cuts in Vision
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
Olivier Juan, Yuri Boykov
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