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» Training of Classifiers Using Virtual Samples Only
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AIME
1997
Springer
13 years 11 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
PCM
2005
Springer
119views Multimedia» more  PCM 2005»
14 years 1 months ago
Haptic Interaction with Depth Video Media
Abstract. In this paper we propose a touch enabled video player system. A conventional video player only allows viewers to passively experience visual and audio media. In virtual e...
Jongeun Cha, Seung Man Kim, Ian Oakley, Jeha Ryu, ...
MLDM
2007
Springer
14 years 1 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
ACL
1992
13 years 8 months ago
Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs
We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Ro...
William A. Gale, Kenneth Ward Church, David Yarows...
IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...