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ICCV
2007
IEEE
16 years 8 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
SIGMETRICS
2008
ACM
15 years 6 months ago
Long range mutual information
Network traffic modeling generally views traffic as a superposition of flows that creates a timeseries of volume counts (e.g. of bytes or packets). What is omitted from this view ...
Nahur Fonseca, Mark Crovella, Kavé Salamati...
IMC
2005
ACM
15 years 12 months ago
Combining Filtering and Statistical Methods for Anomaly Detection
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...
Augustin Soule, Kavé Salamatian, Nina Taft
CVPR
2008
IEEE
16 years 23 days ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
ISIPTA
1999
IEEE
116views Mathematics» more  ISIPTA 1999»
15 years 10 months ago
On the Distribution of Natural Probability Functions
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...
Jeff B. Paris, Paul N. Watton, George M. Wilmers