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85
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ICPR
2006
IEEE
16 years 1 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
ICML
2004
IEEE
16 years 1 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 6 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...
119
Voted
CRV
2005
IEEE
135views Robotics» more  CRV 2005»
15 years 6 months ago
Multi-View Head Pose Estimation using Neural Networks
In the context of human-computer interaction, information about head pose is an important cue for building a statement about humans’ focus of attention. In this paper, we presen...
Michael Voit, Kai Nickel, Rainer Stiefelhagen
ISMIR
2004
Springer
110views Music» more  ISMIR 2004»
15 years 6 months ago
Automatic Detection Of Vocal Segments In Popular Songs
This paper presents a technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. The proposed technique uses acoustic features which ...
Tin Lay Nwe, Ye Wang