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2007
136views Robotics» more  RSS 2007»
13 years 9 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
PKAW
2010
13 years 6 months ago
Finding Relation between PageRank and Voter Model
Abstract. Estimating influence of a node is an important problem in social network analyses. We address this problem in a particular class of model for opinion propagation in whic...
Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, H...
ICNP
2005
IEEE
14 years 1 months ago
Robust Multiclass Signaling Overload Control
We propose multi-class signaling overload control algorithms, for telecommunication switches, that are robust against different input traffic patterns and system upgrades. In ord...
Sneha Kumar Kasera, José Pinheiro, Catherin...
CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 2 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ICPR
2006
IEEE
14 years 8 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh