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» Robustness of the Learning with Errors Assumption
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INFOCOM
2002
IEEE
15 years 4 months ago
Optimal on-line estimation of the size of a dynamic multicast group
Abstract—In this paper we propose an efficient on-line estimation algorithm for determining the size of a dynamic multicast group. By using diffusion approximation and Kalman ...
Sara Alouf, Eitan Altman, Philippe Nain
COLT
2008
Springer
15 years 1 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
AAAI
1996
15 years 1 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
110
Voted
SPAA
2003
ACM
15 years 5 months ago
The effect of communication costs in solid-state quantum computing architectures
Quantum computation has become an intriguing technology with which to attack difficult problems and to enhance system security. Quantum algorithms, however, have been analyzed un...
Dean Copsey, Mark Oskin, Tzvetan S. Metodi, Freder...
120
Voted
CVPR
2004
IEEE
16 years 1 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu