654 search results - page 27 / 131 » TRUST-TECH based Methods for Optimization and Learning |
108
click to vote
AAAI
2006
15 years 2 months ago
2006
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
106
Voted
NAACL
2007
15 years 2 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
131
click to vote
SCIA
2005
Springer
15 years 6 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
87
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...