254 search results - page 22 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
NIPS
2004
13 years 10 months ago
2004
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
MIR
2005
ACM
14 years 2 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
State-of-the-art approaches for detecting filament-like
structures in noisy images rely on filters optimized for signals
of a particular shape, such as an ideal edge or ridge.
W...
ICASSP
2011
IEEE
13 years 6 days ago
2011
IEEE
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
AAAI
2011
12 years 8 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...