Sciweavers

1106 search results - page 97 / 222
» On regularization algorithms in learning theory
Sort
View
ICIP
2000
IEEE
15 years 9 months ago
Chromaticity Diffusion
—A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing e...
Bei Tang, Guillermo Sapiro, Vicent Caselles
TNN
2008
138views more  TNN 2008»
15 years 5 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
CVPR
2005
IEEE
16 years 7 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
ICML
2003
IEEE
16 years 5 months ago
Optimization with EM and Expectation-Conjugate-Gradient
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 10 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...