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» Introduction to speech recognition using neural networks
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WCE
2007
13 years 8 months ago
A Novel Vector Quantization Approach to Arabic Character Recognition
— In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distan...
Ahmad M. Sarhan, Omar I. Al Helalat
JMLR
2006
104views more  JMLR 2006»
13 years 7 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
ICANN
2005
Springer
14 years 1 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ICANN
2005
Springer
14 years 1 months ago
Fast Color-Based Object Recognition Independent of Position and Orientation
Small mobile robots typically have little on-board processing power for time-consuming vision algorithms. Here we show how they can quickly extract very dense yet highly useful inf...
Martijn van de Giessen, Jürgen Schmidhuber
CORR
2006
Springer
111views Education» more  CORR 2006»
13 years 7 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro