60 search results - page 8 / 12 » A Mapping Between Classifiers and Training Conditions for WS... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...
ICCV
2003
IEEE
14 years 20 days ago
2003
IEEE
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...