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MM
2005
ACM
134views Multimedia» more  MM 2005»
15 years 7 months ago
Graph based multi-modality learning
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point ...
Hanghang Tong, Jingrui He, Mingjing Li, Changshui ...
CISS
2010
IEEE
14 years 5 months ago
Cost constrained spectrum sensing in cognitive radio networks
—This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collec...
Gang Xiong, Shalinee Kishore, Aylin Yener
AIPR
2003
IEEE
15 years 5 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
SSPR
2000
Springer
15 years 5 months ago
A Framework for Classifier Fusion: Is It Still Needed?
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
Josef Kittler
CORR
2006
Springer
157views Education» more  CORR 2006»
15 years 2 months ago
DSmT: A new paradigm shift for information fusion
: The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been and still remains of primal importan...
Jean Dezert, Florentin Smarandache