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NIPS
1994
15 years 1 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
ICPR
2002
IEEE
16 years 1 months ago
Automatic Tracking of Local Myocardial Motion by Correlation Weighted Velocity Method
In this paper, we propose a new method for automatically tracking the motion of local region in left ventricular myocardium by means of ultrasonic pulsed Doppler signal. This meth...
Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimu...
106
Voted
IJCV
2007
118views more  IJCV 2007»
15 years 10 days ago
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model
The neural mechanisms underlying motion segregation and integration still remain unclear to a large extent. Local motion estimates often are ambiguous in the lack of form features,...
Pierre Bayerl, Heiko Neumann
134
Voted
ALT
2008
Springer
15 years 9 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
96
Voted
WIOPT
2005
IEEE
15 years 6 months ago
NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routing ALgorithm (NEURAL). NEURAL has been designed taking into account the learning...
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu...