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» Models and Algorithms for Stochastic Online Scheduling
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ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 3 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
14 years 14 days ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
ISPASS
2009
IEEE
14 years 3 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
13 years 7 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier
ICIP
2003
IEEE
14 years 1 months ago
Stochastic rate-control of interframe video coders for VBR channels
We propose a new algorithm for the real-time control of an interframe video coder operating with a variable rate channel such as wireless channels or the Internet. Using technique...
Julián Cabrera, José Ignacio Ronda, ...