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» Training Deformable Models for Localization
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ICPR
2010
IEEE
13 years 6 months ago
Real-Time Abnormal Event Detection in Complicated Scenes
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
Yinghuan Shi, Yang Gao, Ruili Wang
MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 3 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
CONNECTION
2006
101views more  CONNECTION 2006»
13 years 8 months ago
High capacity, small world associative memory models
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
Neil Davey, Lee Calcraft, Rod Adams
PERCOM
2010
ACM
14 years 4 days ago
Indoor localization in multi-floor environments with reduced effort
Abstract—In pervasive computing, localizing a user in wireless indoor environments is an important yet challenging task. Among the state-of-art localization methods, fingerprint...
Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, ...
IJON
2007
131views more  IJON 2007»
13 years 8 months ago
Margin-based active learning for LVQ networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...