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» Learning Video Processing by Example
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CVPR
2008
IEEE
15 years 8 days ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
CORR
2008
Springer
193views Education» more  CORR 2008»
13 years 10 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
ECCV
2006
Springer
15 years 4 days ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 10 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
EC
2006
121views ECommerce» more  EC 2006»
13 years 10 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber