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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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ITS
2010
Springer
171views Multimedia» more  ITS 2010»
15 years 4 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
COLING
2010
14 years 6 months ago
Exploiting Background Knowledge for Relation Extraction
Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kern...
Yee Seng Chan, Dan Roth
ICCV
2011
IEEE
13 years 11 months ago
Automatic Construction of an Action Video Shot Database using Web Videos
There are a huge number of videos with text tags on the Web nowadays. In this paper, we propose a method of automatically extracting from Web videos video shots corresponding to s...
Do Hang Nga, Keiji Yanai
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
16 years 3 days ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
ICCV
2009
IEEE
16 years 4 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...