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FLAIRS
2006
15 years 7 months ago
Adaptive Learning in Machine Summarization
In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
Zhuli Xie, Barbara Di Eugenio, Peter C. Nelson
SIMVIS
2003
15 years 7 months ago
Interest Value Driven Adaptive Subdivision
This paper generalizes adaptive subdivision algorithms by introducing an applicationdependent Degree of Interest function. Therefore, geometry-related as well as geometry-independ...
Tobias Isenberg, Knut Hartmann, Henry König
BMVC
2000
15 years 7 months ago
Video Shot Cut Detection using Adaptive Thresholding
The performance of shot detection methods in video sequences can be improved by the use of a threshold that adapts itself to the sequence statistics. In this paper we present some...
Yusseri Yusoff, William J. Christmas, Josef Kittle...
NAACL
1994
15 years 7 months ago
A Hybrid Approach to Adaptive Statistical Language Modeling
We desert'be our latest attempt at adaptive language modeling. At the heart of our approachis a Maximum Entropy(ME) modelwhich inc.orlxnatesmanyknowledgesources in a consiste...
Ronald Rosenfeld
MVA
1992
276views Computer Vision» more  MVA 1992»
15 years 7 months ago
MAPP2200 Smart Vision Sensor. Programmability and Adaptivity
Thispaper brieflydescribesthearchitectureandfunctions of thesmartvision sensorMAPP2200and showsexamples of the assembler syntax which forms the basis of the softwaredevelopment.?t...
Anders Åström, Robert Forchheimer