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» Learning the Relative Importance of Features in Image Data
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ICIP
2009
IEEE
16 years 4 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
144
Voted
ECCV
2006
Springer
16 years 5 months ago
Studying Aesthetics in Photographic Images Using a Computational Approach
Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a...
Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wan...
131
Voted
ICRA
2007
IEEE
146views Robotics» more  ICRA 2007»
15 years 10 months ago
Inertial Navigation Aided by Monocular Camera Observations of Unknown Features
Abstract— This paper presents an algorithm which can effectively constrain inertial navigation drift using monocular camera data. It is capable of operating in unknown and large ...
Michael George, Salah Sukkarieh
155
Voted
ICTAI
2008
IEEE
15 years 10 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
121
Voted
FGR
2008
IEEE
238views Biometrics» more  FGR 2008»
15 years 10 months ago
Focus on quality, predicting FRVT 2006 performance
This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a stron...
J. Ross Beveridge, Geof H. Givens, P. Jonathon Phi...