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CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
JMLR
2010
160views more  JMLR 2010»
13 years 2 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
INFOCOM
2009
IEEE
14 years 2 months ago
Capabilities of Low-Power Wireless Jammers
— In this paper, motivated by the goal of modeling the fine-grain capabilities of jammers for the context of security in low-power wireless networks, we experimentally character...
Lifeng Sang, Anish Arora
MIG
2009
Springer
14 years 2 months ago
A Predictive Collision Avoidance Model for Pedestrian Simulation
We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrian...
Ioannis Karamouzas, Peter Heil, Pascal van Beek, M...
APGV
2004
ACM
124views Visualization» more  APGV 2004»
13 years 11 months ago
An experimental approach to predicting saliency for simplified polygonal models
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predi...
Sarah Howlett, John Hamill, Carol O'Sullivan