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» Feature selection in a kernel space
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WWW
2007
ACM
14 years 8 months ago
Combining classifiers to identify online databases
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
Luciano Barbosa, Juliana Freire
TSMC
1998
93views more  TSMC 1998»
13 years 7 months ago
Toward a completely automatic neural-network-based human chromosome analysis
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
Boaz Lerner
ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
UAI
2000
13 years 8 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller
HPDC
2003
IEEE
14 years 24 days ago
Optimizing GridFTP through Dynamic Right-Sizing
In this paper, we describe the integration of dynamic right-sizing — an automatic and scalable buffer management technique for enhancing TCP performance — into GridFTP, a sub...
Sunil Thulasidasan, Wu-chun Feng, Mark K. Gardner