Sciweavers

88 search results - page 7 / 18
» Optimal Denoising in Redundant Representations
Sort
View
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
CVPR
2008
IEEE
14 years 9 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
14 years 12 days ago
Motor planning as an optimization of command representation
— A fundamental problem in the field of motor neuroscience is to understand how our brain generates appropriate motor commands for precise movements effortlessly. The problem se...
Shiro Ikeda, Yutaka Sakaguchi
IEEEPACT
2008
IEEE
14 years 2 months ago
Redundancy elimination revisited
This work proposes and evaluates improvements to previously known algorithms for redundancy elimination. Enhanced Scalar Replacement combines two classic techniques, scalar replac...
Keith D. Cooper, Jason Eckhardt, Ken Kennedy
CVPR
2011
IEEE
12 years 11 months ago
Nonlocal Matting
This work attempts to considerably reduce the amount of user effort in the natural image matting problem. The key observation is that the nonlocal principle, introduced to denoise...
Philip Lee, Ying Wu