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» Statistical Learning of Arbitrary Computable Classifiers
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CORR
2008
Springer
72views Education» more  CORR 2008»
14 years 10 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik
LCN
2006
IEEE
15 years 4 months ago
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Thuy T. T. Nguyen, Grenville J. Armitage
CVPR
2004
IEEE
16 years 7 days ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
105
Voted
ECCV
2008
Springer
16 years 3 days ago
Keypoint Signatures for Fast Learning and Recognition
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Michael Calonder, Vincent Lepetit, Pascal Fua
78
Voted
SEMCO
2008
IEEE
15 years 4 months ago
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito