153 search results - page 20 / 31 » On-Line Learning Methods for Gaussian Processes |
ICIAP
2001
Springer
14 years 8 months ago
2001
Springer
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...
MS
2003
13 years 9 months ago
2003
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
EMNLP
2007
13 years 9 months ago
2007
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
MIR
2005
ACM
14 years 1 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...