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» Learning on the Test Data: Leveraging Unseen Features
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CVPR
2006
IEEE
14 years 11 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
ICASSP
2010
IEEE
13 years 7 months ago
Speech/Non-Speech Detection in Meetings from Automatically Extracted low Resolution Visual Features
In this paper we address the problem of estimating who is speaking from automatically extracted low resolution visual cues in group meetings. Traditionally, the task of speech/non...
Hayley Hung, Sileye O. Ba
BMVC
1997
13 years 10 months ago
Employing Region Features for Searching an Image Database
This paper describes recent work on the use of regional data extracted from segmented images for use as search keys in an image database query system. The motivation for this work...
Matthew E. J. Wood, Neill W. Campbell, Barry T. Th...
IJCAI
1989
13 years 10 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
MLDM
2009
Springer
14 years 3 months ago
The Needles-in-Haystack Problem
We consider a new data mining problem of detecting the members of a rare class of data, the needles, that have been hidden in a set of records, the haystack. Besides the haystack, ...
Katherine Moreland, Klaus Truemper