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ISCI
2008
95views more  ISCI 2008»
14 years 9 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
ICCV
2009
IEEE
1425views Computer Vision» more  ICCV 2009»
16 years 21 days ago
Fast Ray Features for Learning Irregular Shapes
We introduce a new class of image features, the Ray feature set, that consider image characteristics at distant contour points, capturing information which is difficult to repre...
Kevin Smith, Alan Carleton, Vincent Lepetit
BIOADIT
2004
Springer
15 years 3 months ago
A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning
Abstract. In this paper we present a functional model of a spiking neuron intended for hardware implementation. Some features of biological spiking neuabstracted, while preserving ...
Andres Upegui, Carlos Andrés Peña-Re...
ICMLA
2007
14 years 11 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
ICPR
2010
IEEE
14 years 7 months ago
Beyond "Near Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
Shumeet Baluja, Michele Covell