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131
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ICML
2009
IEEE
15 years 11 months ago
Supervised learning from multiple experts: whom to trust when everyone lies a bit
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K...
89
Voted
ICASSP
2009
IEEE
15 years 11 months ago
Relative pitch estimation of multiple instruments
We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered po...
Gautham J. Mysore, Paris Smaragdis
148
Voted
CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
15 years 11 months ago
Coverage control for mobile networks with limited-range anisotropic sensors
Abstract— In this paper the coverage control for mobile sensor networks is studied. The novelty is to consider an anisotropic sensor model where the performance of the sensor dep...
Azwirman Gusrialdi, Takeshi Hatanaka, Masayuki Fuj...
IROS
2006
IEEE
122views Robotics» more  IROS 2006»
15 years 11 months ago
Team-Driven Multi-Model Motion Tracking with Communication
— Interactions are frequently seen between the robot and the targets being tracked within the robotics community. Modeling the interactions using knowledge of robot cognition imp...
Yang Gu, Manuela M. Veloso
142
Voted
IPMU
2010
Springer
15 years 7 months ago
Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting Recognition
In this work, we focus on an improvement of a multi-script handwritting recognition system using a HMM based classifiers combination. The improvement relies on the use of Dempster-...
Yousri Kessentini, Thomas Burger, Thierry Paquet