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IROS
2008
IEEE
113views Robotics» more  IROS 2008»
16 years 24 days ago
Motion planning for urban driving using RRT
— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
16 years 22 days ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
16 years 21 days ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
RTAS
2007
IEEE
16 years 20 days ago
Middleware Support for Aperiodic Tasks in Distributed Real-Time Systems
Many mission-critical distributed real-time applications must handle aperiodic tasks with end-to-end deadlines. However, existing middleware (e.g., RT-CORBA) lacks schedulability ...
Yuanfang Zhang, Chenyang Lu, Christopher D. Gill, ...
ICANN
2007
Springer
16 years 17 days ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...