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» Sequential Learning of Layered Models from Video
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NIPS
2003
13 years 7 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
IJMMS
2008
80views more  IJMMS 2008»
13 years 5 months ago
Real-time classification of evoked emotions using facial feature tracking and physiological responses
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...
EELC
2006
156views Languages» more  EELC 2006»
13 years 9 months ago
The Human Speechome Project
The Human Speechome Project is an effort to observe and computationally model the longitudinal course of language development for a single child at an unprecedented scale. The ide...
Deb Roy, Rupal Patel, Philip DeCamp, Rony Kubat, M...
CVPR
2010
IEEE
14 years 1 months ago
Piecewise Planar and Non-Planar Stereo for Urban Scene Reconstruction
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by...
David Gallup, Jan-Michael Frahm, Marc Pollefeys
TCSV
2011
13 years 22 days ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...