3189 search results - page 439 / 638 » Image Processing: Principles and Applications |
122
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
120
Voted
ICVS
2003
Springer
15 years 8 months ago
2003
Springer
This paper details a visual concept ontology driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the...
157
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
131
Voted
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
136
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Matrix optimization with orthogonal constraints appear in a variety of application fields including signal and image processing. Several researchers have developed algorithms for...