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» Pattern Recognition Using Functions of Multiple Instances
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89
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ICDAR
2007
IEEE
15 years 9 months ago
K-Nearest Oracle for Dynamic Ensemble Selection
For handwritten pattern recognition, multiple classifier system has been shown to be useful in improving recognition rates. One of the most important issues to optimize a multipl...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
111
Voted
ISCI
2002
120views more  ISCI 2002»
15 years 2 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
119
Voted
SIGCOMM
2009
ACM
15 years 9 months ago
A programmable, generic forwarding element approach for dynamic network functionality
Communication networks are growing exponentially, and new services and applications are being introduced unceasingly. To meet the demands of these services and applications, curre...
Ran Giladi, Niv Yemini
150
Voted
PR
2008
228views more  PR 2008»
15 years 2 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
DCOSS
2009
Springer
15 years 9 months ago
Finding Symbolic Bug Patterns in Sensor Networks
Abstract. This paper presents a failure diagnosis algorithm for summarizing and generalizing patterns that lead to instances of anomalous behavior in sensor networks. Often multipl...
Mohammad Maifi Hasan Khan, Tarek F. Abdelzaher, Ji...