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ICIP
2009
IEEE
16 years 7 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
DAC
1999
ACM
16 years 7 months ago
Soft Scheduling in High Level Synthesis
In this paper, we establish a theoretical framework for a new concept of scheduling called soft scheduling. In contrasts to the traditional schedulers referred as hard schedulers,...
Jianwen Zhu, Daniel Gajski
ICML
2007
IEEE
16 years 7 months ago
Supervised clustering of streaming data for email batch detection
We address the problem of detecting batches of emails that have been created according to the same template. This problem is motivated by the desire to filter spam more effectivel...
Peter Haider, Ulf Brefeld, Tobias Scheffer
ICML
2007
IEEE
16 years 7 months ago
Multi-armed bandit problems with dependent arms
We provide a framework to exploit dependencies among arms in multi-armed bandit problems, when the dependencies are in the form of a generative model on clusters of arms. We find ...
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarw...
ICML
2005
IEEE
16 years 7 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg