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» Online Selection of Tracking Features using AdaBoost
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GLOBECOM
2010
IEEE
14 years 7 months ago
Know Your Enemy, Know Yourself: Block-Level Network Behavior Profiling and Tracking
Abstract. Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of th...
Esam Sharafuddin, Nan Jiang, Yu Jin, Zhi-Li Zhang
ICCV
1995
IEEE
15 years 1 months ago
Closed-World Tracking
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
Stephen S. Intille, Aaron F. Bobick
ICFHR
2010
155views Biometrics» more  ICFHR 2010»
14 years 4 months ago
A Hybrid Model for Recognition of Online Handwriting in Indian Scripts
We present a complete online handwritten character recognition system for Indian languages that handles the ambiguities in segmentation as well as recognition of the strokes. The ...
Amit Arora, Anoop M. Namboodiri
EUSFLAT
2003
121views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
An adaptive learning algorithm for a neo fuzzy neuron
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
Yevgeniy Bodyanskiy, Illya Kokshenev, Vitaliy Kolo...
COLT
2006
Springer
15 years 1 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert