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» Discriminative Random Fields for Behavior Modeling
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ICASSP
2008
IEEE
14 years 4 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...
ICASSP
2010
IEEE
13 years 10 months ago
Predicting interruptions in dyadic spoken interactions
Interruptions occur frequently in spontaneous conversations, and they are often associated with changes in the flow of conversation. Predicting interruption is essential in the d...
Chi-Chun Lee, Shrikanth Narayanan
PAMI
2010
417views more  PAMI 2010»
13 years 8 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
TMI
2002
248views more  TMI 2002»
13 years 9 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
TSP
2008
101views more  TSP 2008»
13 years 9 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami