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» Presenting Data from Experiments in Algorithmics
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2009
ACM
16 years 2 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...
CVPR
2009
IEEE
17 years 2 months ago
Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition
We present a new approach to robust pose-variant face recognition, which exhibits excellent generalization ability even across completely different datasets due to its weak depe...
John Wright (University of Illinois), Gang Hua (Mi...
ICCV
2005
IEEE
16 years 9 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
ECCV
2002
Springer
16 years 9 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs
SENSYS
2009
ACM
16 years 2 months ago
Collection tree protocol
This paper presents and evaluates two principles for wireless routing protocols. The first is datapath validation: data traffic quickly discovers and fixes routing inconsistenc...
Omprakash Gnawali, Rodrigo Fonseca, Kyle Jamieson,...