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FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
14 years 1 months ago
Recovering 3D facial shape via coupled 2D/3D space learning
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
Annan Li, Shiguang Shan, Xilin Chen, Xiujuan Chai,...
COMPSAC
2005
IEEE
14 years 1 months ago
Recovering "Lack of Words" in Text Categorization for Item Banks
PKIP, Patterned Keywords in Phrase, is our feature selection approach to text categorization (TC) for item banks. An item bank is a collection of textual data in which each item c...
Atorn Nuntiyagul, Nick Cercone, Kanlaya Naruedomku...
MSR
2005
ACM
14 years 1 months ago
Recovering system specific rules from software repositories
One of the most successful applications of static analysis based bug finding tools is to search the source code for violations of system-specific rules. These rules may describe h...
Chadd C. Williams, Jeffrey K. Hollingsworth
BMVC
1998
13 years 8 months ago
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a r...
Ben Galvin, Brendan McCane, Kevin Novins, David Ma...
COLING
2002
13 years 7 months ago
Recovering Latent Information in Treebanks
Many recent statistical parsers rely on a preprocessing step which uses hand-written, corpus-specific rules to augment the training data with extra information. For example, head-...
David Chiang, Daniel M. Bikel