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» Efficient Piecewise Learning for Conditional Random Fields
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ICMI
2009
Springer
147views Biometrics» more  ICMI 2009»
15 years 6 months ago
Multimodal end-of-turn prediction in multi-party meetings
One of many skills required to engage properly in a conversation is to know the appropiate use of the rules of engagement. In order to engage properly in a conversation, a virtual...
Iwan de Kok, Dirk Heylen
IJRR
2010
137views more  IJRR 2010»
14 years 10 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
PAMI
2011
14 years 2 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
CVPR
2007
IEEE
16 years 1 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
ICML
2008
IEEE
16 years 15 days ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr