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» Learning from Multiple Annotators with Gaussian Processes
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ACML
2009
Springer
15 years 6 months ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski
ICIP
2004
IEEE
16 years 1 months ago
Face detection in the compressed domain
Face detection is important in many algorithms in the areas of machine object recognition and pattern recognition. The kaleidoscope of applications for face detection extends acro...
Pedro Fonseca, Jan Nesvadba
ICIP
2007
IEEE
16 years 1 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICASSP
2010
IEEE
15 years 1 days ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
DAGM
2011
Springer
13 years 11 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...