1601 search results - page 179 / 321 » Learning Gaussian processes from multiple tasks |
120
click to vote
EAAI
2006
15 years 3 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
121
Voted
ICMI
2007
Springer
15 years 9 months ago
2007
Springer
Abstract— This paper presents a tactile language for controlling a robot through its artificial skin. This language greatly improves the multimodal human-robot communication by ...
133
Voted
CORR
2008
Springer
15 years 3 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
134
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
142
click to vote
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...