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TSMC
2008
76views more  TSMC 2008»
13 years 9 months ago
Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles
This paper presents an improved Adaptive
John Valasek, James Doebbler, Monish D. Tandale, A...
BMCV
2000
Springer
14 years 2 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek
JMLR
2010
102views more  JMLR 2010»
13 years 4 months ago
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubram...
ICIP
2010
IEEE
13 years 7 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
13 years 11 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen