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» Limits on Learning Machine Accuracy Imposed by Data Quality
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CEC
2007
IEEE
14 years 17 days ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang
BMCBI
2007
178views more  BMCBI 2007»
13 years 8 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
NIME
2005
Springer
163views Music» more  NIME 2005»
14 years 2 months ago
ixi software: The Interface as Instrument
This paper describes the audio human computer interface experiments of ixi in the past and outlines the current platform for future research. ixi software [5] was founded by Thor ...
Thor Magnusson
MM
2009
ACM
209views Multimedia» more  MM 2009»
14 years 3 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
BMVC
2001
13 years 11 months ago
A Buyer's Guide to Euclidean Elliptical Cylindrical and Conical Surface Fitting
The ability to construct CAD or other object models from edge and range data has a fundamental meaning in building a recognition and positioning system. While the problem of model...
Petko Faber, Robert B. Fisher