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ACL
2008
15 years 9 months ago
Active Learning with Confidence
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
Mark Dredze, Koby Crammer
NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 7 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
IEAAIE
1999
Springer
15 years 11 months ago
Knowledge Acquisition Based on Semantic Balance of Internal and External Knowledge
This paper presents a strategy to handle incomplete knowledge during acquisition process. The goal of this research is to develop formal tools that benefit the law of semantic bala...
Vagan Y. Terziyan, Seppo Puuronen
MVA
2007
124views Computer Vision» more  MVA 2007»
15 years 9 months ago
The Agent WiSARD Approach to Intelligent Active Video Surveillance Systems
The Agent WiSARD methodology for intelligent active video surveillance systems is proposed in this paper. The hybrid neurosymbolic system (called ISIDIS) is based on the integrati...
Massimo De Gregorio
SPIESR
2001
111views Database» more  SPIESR 2001»
15 years 9 months ago
Automatic measurement of intensity of motion activity of video segments
We present a psycho-visual and analytical framework for automatic measurement of motion activity in video sequences. We construct a test-set of video segments by carefully selecti...
Kadir A. Peker, Ajay Divakaran, Thomas V. Papathom...