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NIPS
2001
14 years 11 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 3 months ago
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Abstract. Particle Swarm Optimization is gaining momentum as a simple and effective optimization technique. We present a new approach to PSO that significantly reduces the number...
Christopher K. Monson, Kevin D. Seppi
ICIP
2006
IEEE
15 years 11 months ago
Spatially Constrained Wiener Filter with Markov Autocorrelation Modeling for Image Resolution Enhancement
This paper develops a practical method for image resolution enhancement. The method optimizes the spatially constrained Wiener filter for an efficiently parameterized model of the...
Jiazheng Shi, Stephen E. Reichenbach
TSP
2008
180views more  TSP 2008»
14 years 9 months ago
A Square-Root Nyquist (M) Filter Design for Digital Communication Systems
Designing matched transmit and receive filters such that their combination satisfies the Nyquist condition is a classical problem in digital communication systems. In this paper, ...
Behrouz Farhang-Boroujeny
ICIP
2000
IEEE
15 years 2 months ago
Partitioning of Video Objects into Temporal Segments Using Local Motion Information
In this paper we propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization...
Berna Erol, Faouzi Kossentini