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ICANN
2005
Springer
16 years 1 days ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
CICLING
2010
Springer
15 years 6 months ago
A Distributional Semantics Approach to Simultaneous Recognition of Multiple Classes of Named Entities
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...
Siddhartha Jonnalagadda, Robert Leaman, Trevor Coh...
ICIP
1994
IEEE
16 years 8 months ago
An Object-oriented Optimization System
We describe the implementation of a graphical programming tool in the object-oriented language, Smalltalk80, that allows a user to construct a radiographic measurement model. The ...
G. S. Cunningham, K. M. Hanson, G. R. Jennings Jr....
CODES
2006
IEEE
16 years 17 days ago
A run-time, feedback-based energy estimation model For embedded devices
We present an adaptive, feedback-based, energy estimation model for battery-powered embedded devices such as sensor network gateways and hand-held computers. Our technique maps ha...
Selim Gurun, Chandra Krintz
TON
2010
167views more  TON 2010»
15 years 1 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...