Sciweavers

2901 search results - page 6 / 581
» Predicting non-stationary processes
Sort
View
EMNLP
2011
13 years 9 months ago
Heuristic Search for Non-Bottom-Up Tree Structure Prediction
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Andrea Gesmundo, James Henderson
TNN
2008
95views more  TNN 2008»
14 years 8 months ago
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation
Abstract--This paper investigates whether spike-timing-dependent plasticity (STDP) can minimize the effect of mismatch within the context of a depth-from-motion algorithm. To impro...
Katherine Cameron, Alan Murray
ESSMAC
2003
Springer
15 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
AAAI
2012
12 years 11 months ago
Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults
Many signals of interest are corrupted by faults of an unknown type. We propose an approach that uses Gaussian processes and a general “fault bucket” to capture a priori uncha...
Michael A. Osborne, Roman Garnett, Kevin Swersky, ...
ICASSP
2011
IEEE
14 years 26 days ago
Low-complexity predictive lossy compression of hyperspectral and ultraspectral images
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
Andrea Abrardo, Mauro Barni, Enrico Magli