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CVPR
2012
IEEE
13 years 6 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
76
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BMCBI
2007
105views more  BMCBI 2007»
15 years 23 days ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...
126
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ICMLA
2010
14 years 10 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
GLOBECOM
2007
IEEE
15 years 7 months ago
Spatial Multiplexing in the Multi-User MIMO Downlink Based on Signal-to-Leakage Ratios
Abstract—Spatial multiplexing in the multi-user MIMO (MUMIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and ...
Melvin C. H. Lim, Mounir Ghogho, Desmond C. McLern...
80
Voted
ICRA
2005
IEEE
107views Robotics» more  ICRA 2005»
15 years 6 months ago
Wheel Torque Control in Rough Terrain - Modeling and Simulation
Abstract - This paper presents a method for wheel-ground contact angle measurement and a traction control strategy minimizing slip in rough terrain. The slip minimization algorithm...
Pierre Lamon, Roland Siegwart