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AAAI
2008
15 years 9 months ago
RADAR: A Personal Assistant that Learns to Reduce Email Overload
Email client software is widely used for personal task management, a purpose for which it was not designed and is poorly suited. Past attempts to remedy the problem have focused o...
Michael Freed, Jaime G. Carbonell, Geoffrey J. Gor...
CCE
2006
15 years 7 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
ICIP
2004
IEEE
16 years 8 months ago
Rate distortion analysis of leaky prediction layered video coding using quantization noise modeling
Unlike conventional layered scalable video coding, leaky prediction layered video coding (LPLC) introduces a leaky factor , which takes on values in the range between 0 and 1, to ...
Yuxin Liu, Josep Prades-Nebot, Paul Salama, Edward...
ICIP
2000
IEEE
16 years 8 months ago
Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution
In this paper, we demonstrate based on the linear model of [1, 2] that inverse halftoning is equivalent to the well-studied problem of deconvolution in the presence of colored noi...
Ramesh Neelamani, Robert Nowak, Richard G. Baraniu...
ICASSP
2010
IEEE
15 years 7 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals