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ICDAR
2003
IEEE
15 years 3 months ago
A Low-Cost Parallel K-Means VQ Algorithm Using Cluster Computing
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...
Alceu de Souza Britto Jr., Paulo Sergio Lopes de S...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 3 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
ISCAS
2003
IEEE
72views Hardware» more  ISCAS 2003»
15 years 3 months ago
Classification of synchronized states in CNNs with higher order cells
The aim of this paper is to describe various types of synchronization phenomena discovered in our earlier studies of dynamics of Cellular Nonlinear Networks composed of locally in...
Antonio Andreescu, Zbigniew Galias, Maciej Ogorzal...
NIPS
2000
14 years 11 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio
TCSV
2010
14 years 4 months ago
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
Mohand Saïd Allili, Djemel Ziou, Nizar Bougui...