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» Limits on Learning Machine Accuracy Imposed by Data Quality
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CEC
2007
IEEE
15 years 10 months 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»
15 years 6 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»
15 years 11 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»
16 years 13 days 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
15 years 8 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