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» Image Understanding using Domain Knowledge
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CVPR
2009
IEEE
15 years 6 months ago
Image Deblurring for Less Intrusive Iris Capture
For most iris capturing scenarios, captured iris images could easily blur when the user is out of the depth of field (DOF) of the camera, or when he or she is moving. The common...
Xinyu Huang (University of Kentucky), Liu Ren (Rob...
AAAI
2007
14 years 1 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
COLING
2010
13 years 6 months ago
Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably
Creating correct, semantic representations of questions is essential for applications that can use formal reasoning to answer them. However, even within a restricted domain, it is...
Peter Clark, Philip Harrison
IEEEICCI
2002
IEEE
14 years 3 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
ACL
2010
13 years 9 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon