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115
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ICASSP
2009
IEEE
15 years 10 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
15 years 9 months ago
Grasping POMDPs
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
Kaijen Hsiao, Leslie Pack Kaelbling, Tomás ...
103
Voted
CDC
2009
IEEE
127views Control Systems» more  CDC 2009»
15 years 8 months ago
A moving horizon scheme for distributed state estimation
— This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the ...
Marcello Farina, Giancarlo Ferrari-Trecate, Riccar...
DAGM
2001
Springer
15 years 8 months ago
Points, Lines, and Planes and Their Optimal Estimation
Abstract. We present a method for estimating unknown geometric entities based on identical, incident, parallel or orthogonal observed entities. These entities can be points and lin...
Stephan Heuel
109
Voted
COLT
2000
Springer
15 years 7 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter