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» Learning from Partial Observations
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131
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ICASSP
2010
IEEE
15 years 4 months ago
Fundamental limits of image denoising: Are we there yet?
In this paper, we study the fundamental performance limits of image denoising where the aim is to recover the original image from its noisy observation. Our study is based on a ge...
Priyam Chatterjee, Peyman Milanfar
124
Voted
IEEEPACT
2002
IEEE
15 years 9 months ago
Predicting Conditional Branches With Fusion-Based Hybrid Predictors
Researchers have studied hybrid branch predictors that leverage the strengths of multiple stand-alone predictors. The common theme among the proposed techniques is a selection mec...
Gabriel H. Loh, Dana S. Henry
CIKM
2009
Springer
15 years 10 months ago
Mining linguistic cues for query expansion: applications to drug interaction search
Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable f...
Sheng Guo, Naren Ramakrishnan
140
Voted
DC
2007
15 years 3 months ago
On private computation in incomplete networks
Suppose that some parties are connected by an incomplete network of reliable and private channels. The parties cooperate to execute some protocol. However, the parties are curious...
Amos Beimel
109
Voted
ICML
2007
IEEE
16 years 4 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar