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» A Computational Model for Visual Size, Location and Movement
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CGA
2008
13 years 8 months ago
Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we ...
Sébastien Hillaire, Anatole Lécuyer,...
TPDS
2008
161views more  TPDS 2008»
13 years 8 months ago
Distributed Deployment Schemes for Mobile Wireless Sensor Networks to Ensure Multilevel Coverage
One of the key research issues in wireless sensor networks (WSNs) is how to efficiently deploy sensors to cover an area. In this paper, we solve the k-coverage sensor deployment pr...
You-Chiun Wang, Yu-Chee Tseng
NIPS
1992
13 years 9 months ago
Filter Selection Model for Generating Visual Motion Signals
Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
Steven J. Nowlan, Terrence J. Sejnowski
BMCBI
2007
219views more  BMCBI 2007»
13 years 8 months ago
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...
MLDM
2005
Springer
14 years 2 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater