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» Optimizing for parallelism and data locality
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123
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CVPR
2009
IEEE
16 years 8 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
111
Voted
ECCV
2008
Springer
16 years 2 months ago
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
Lior Wolf, Yoni Donner
ECCC
2007
180views more  ECCC 2007»
15 years 24 days ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri
ECCV
2008
Springer
16 years 2 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
82
Voted
ICCD
2000
IEEE
99views Hardware» more  ICCD 2000»
15 years 9 months ago
Self-Calibrating Clocks for Globally Asynchronous Locally Synchronous Systems
We present a local clocking mechanism based on a tunable delay line which calibrates itself from a low frequency global clock. After initial tuning, the local clock remains calibr...
Simon W. Moore, George S. Taylor, Paul A. Cunningh...