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» Online Selection of Tracking Features using AdaBoost
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ACL
1998
15 years 5 months ago
Part of Speech Tagging Using a Network of Linear Separators
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
Dan Roth, Dmitry Zelenko
ECAI
2008
Springer
15 years 5 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
160
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FTCS
1993
123views more  FTCS 1993»
15 years 5 months ago
Fast, On-Line Failure Recovery in Redundant Disk Arrays
This paper describes and evaluates two algorithms for performing on-line failure recovery (data reconstruction) in redundant disk arrays. It presents an implementation of disk-ori...
Mark Holland, Garth A. Gibson, Daniel P. Siewiorek
ICASSP
2008
IEEE
15 years 10 months ago
Multi-feature vector flow for active contour tracking
In order to achieve both fast tracking and accurate object extraction, we present in this paper an original real-time active contour method, incorporating different feature maps i...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...
AUSDM
2008
Springer
271views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Classification of Brain-Computer Interface Data
In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-l...
Omar AlZoubi, Irena Koprinska, Rafael A. Calvo