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» Induction in Noisy Domains
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ICML
2001
IEEE
16 years 19 days ago
Estimating a Kernel Fisher Discriminant in the Presence of Label Noise
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
Bernhard Schölkopf, Neil D. Lawrence
ISDA
2009
IEEE
15 years 6 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
HT
2009
ACM
15 years 6 months ago
When printed hypertexts go digital: information extraction from the parsing of indices
Modern critical editions of ancient works generally include manually created indices of other sources quoted in the text. Since indices can be considered as a form of domain speci...
Matteo Romanello, Monica Berti, Alison Babeu, Greg...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ACIVS
2007
Springer
15 years 6 months ago
Shape Extraction Via Heat Flow Analogy
Abstract. In this paper, we introduce a novel evolution-based segmentation algorithm by using the heat flow analogy, to gain practical advantage. The proposed algorithm consists of...
Cem Direkoglu, Mark S. Nixon