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» Facial Expression Space Learning
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IVC
2002
121views more  IVC 2002»
14 years 11 months ago
Automatic extraction of the face identity-subspace
Facial variation divides into a number of functional subspaces, and ensemblespecific variation. An improved method of measuring these is presented, within the space defined by an ...
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa...
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
15 years 1 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
TNN
2008
128views more  TNN 2008»
14 years 11 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
SIGGRAPH
2000
ACM
15 years 3 months ago
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques. This deformation approach proceeds from the observ...
John P. Lewis, Matt Cordner, Nickson Fong
91
Voted
EUROGRAPHICS
2010
Eurographics
15 years 8 months ago
Reinterpretable Imager: Towards Variable Post-Capture Space, Angle and Time Resolution in Photography
We describe a novel multiplexing approach to achieve tradeoffs in space, angle and time resolution in photography. We explore the problem of mapping useful subsets of time-varying...
Amit Agrawal, Ashok Veeraraghavan, Ramesh Raskar