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» Modeling Selective Perception of Complex, Natural Scenes
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FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
HRI
2010
ACM
13 years 7 months ago
Towards robust human robot collaboration in industrial environments
In this paper a system, which is driven through natural language, that allows operators to select and manipulate objects in the environment using an industrial robot is proposed. I...
Batu Akan, Baran Çürüklü, Gi...
ICIP
2006
IEEE
14 years 9 months ago
Multiscale Keypoint Detection using the Dual-Tree Complex Wavelet Transform
We present a novel approach to detect multiscale keypoints using the Dual Tree Complex Wavelet Transform (DTCWT). We show that it is a well-suited basis for this problem as it is ...
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
CCECE
2006
IEEE
14 years 1 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
CVPR
2012
IEEE
11 years 10 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...