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PAMI
2012
11 years 11 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
BMCBI
2005
251views more  BMCBI 2005»
13 years 8 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
ICRA
2006
IEEE
125views Robotics» more  ICRA 2006»
14 years 2 months ago
An Ecological Approach to Odour Recognition in Intelligent Environments
— We present a new approach for odour detection and recognition based on a so-called PEIS-Ecology: a network of gas sensors and a mobile robot are integrated in an intelligent en...
Mathias Broxvall, Silvia Coradeschi, Amy Loutfi, A...
DAS
2006
Springer
14 years 4 days ago
Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis
Handwritten essays are widely used in educational assessments, particularly in classroom instruction. This paper concerns the design of an automated system for performing the task ...
Sargur N. Srihari, Jim Collins, Rohini K. Srihari,...
ACL
2008
13 years 10 months ago
An Unsupervised Vector Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
Bridget McInnes