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IEEEICCI
2009
IEEE
15 years 4 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
CORR
2011
Springer
171views Education» more  CORR 2011»
15 years 1 months ago
Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments
—We present controllers that enable mobile robots to persistently monitor or sweep a changing environment. The changing environment is modeled as a field which grows in location...
Stephen L. Smith, Mac Schwager, Daniela Rus
TSP
2011
104views more  TSP 2011»
15 years 1 months ago
Decentralized Particle Filter With Arbitrary State Decomposition
—In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filte...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...
JCNS
2010
90views more  JCNS 2010»
15 years 1 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
TIP
2010
119views more  TIP 2010»
15 years 1 months ago
Fast Cartoon + Texture Image Filters
Abstract--Can images be decomposed into the sum of a geometric part and a textural part? In a theoretical breakthrough, [Y. Meyer, Oscillating Patterns in Image Processing and Nonl...
Antoni Buades, Triet M. Le, Jean-Michel Morel, Lum...