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» Learning in the Presence of Inaccurate Information
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CVPR
2003
IEEE
14 years 10 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
ICML
2004
IEEE
14 years 9 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
TREC
2004
13 years 9 months ago
Columbia University in the Novelty Track at TREC 2004
Our system for the Novelty Track at TREC 2004 looks beyond sentence boundaries as well as within sentences to identify novel, nonduplicative passages. It tries to identify text sp...
Barry Schiffman, Kathleen McKeown
COLING
2002
13 years 8 months ago
Fine Grained Classification of Named Entities
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
Michael Fleischman, Eduard H. Hovy
HRI
2011
ACM
12 years 12 months ago
Managing social constraints on recharge behaviour for robot companions using memory
In this paper, we present an approach to monitor human activities such as entry, exit and break times of people in a workplace environment. The companion robot then learns the use...
Amol A. Deshmukh, Mei Yii Lim, Michael Kriegel, Ru...