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ICONIP
2007
15 years 4 months ago
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory m...
Byron M. Yu, John P. Cunningham, Krishna V. Shenoy...
TIP
2008
163views more  TIP 2008»
15 years 3 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
IJAR
2010
106views more  IJAR 2010»
15 years 1 months ago
A minimum distance estimator in an imprecise probability model - Computational aspects and applications
The present article considers estimating a parameter θ in an imprecise probability model (Pθ)θ∈Θ which consists of coherent upper previsions Pθ . After the definition of a...
Robert Hable
PEWASUN
2004
ACM
15 years 8 months ago
An M/MMGI/1/K queuing model for IEEE 802.11 ad hoc networks
An M/MMGI/1/K queuing model is developed for the analysis of IEEE 802.11 DCF using RTS/CTS. Results are based on arbitrary contention conditions, namely, collision probabilities, ...
Mustafa Özdemir, A. Bruce McDonald
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
15 years 7 months ago
Improved independent component regression modeling
The conventional independent component regression (ICR), as an exclusive two-step implementation algorithm, has the risk similar to principal component regression (PCR). That is, t...
Chunhui Zhao, Furong Gao, Tao Liu, Fuli Wang