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» Transform Clustering for Model-Image Feature Correspondence
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ACSW
2004
13 years 7 months ago
Application of self-organizing maps to clustering of high-frequency Financial data
This paper analyzes the clustering of trades on the Australian Stock Exchange (ASX) with respect to the trade direction variable. The ASX is a limit order market operating an elec...
Adam Blazejewski, Richard Coggins
BMCBI
2007
129views more  BMCBI 2007»
13 years 6 months ago
HoughFeature, a novel method for assessing drug effects in three-color cDNA microarray experiments
Background: Three-color microarray experiments can be performed to assess drug effects on the genomic scale. The methodology may be useful in shortening the cycle, reducing the co...
Hongya Zhao, Hong Yan
IJCV
2000
180views more  IJCV 2000»
13 years 6 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
SCVMA
2004
Springer
13 years 11 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
ICANN
2005
Springer
13 years 11 months ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...