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» Techniques for Empirical Validation
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172
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SIGIR
2006
ACM
16 years 24 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGCOMM
2005
ACM
16 years 12 days ago
On the predictability of large transfer TCP throughput
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation, and analysis of TCP throug...
Qi He, Constantinos Dovrolis, Mostafa H. Ammar
208
Voted
TSP
2008
151views more  TSP 2008»
15 years 6 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
164
Voted
ASPLOS
2012
ACM
14 years 2 months ago
An update-aware storage system for low-locality update-intensive workloads
Traditional storage systems provide a simple read/write interface, which is inadequate for low-locality update-intensive workloads because it limits the disk scheduling flexibili...
Dilip Nijagal Simha, Maohua Lu, Tzi-cker Chiueh
183
Voted
ICIP
2000
IEEE
16 years 8 months ago
Wavelet-Based Coding of Three-Dimensional Oceanographic Images Around Land Masses
We describe an algorithm for the embedded coding of 3D oceanographic images. These images differ from those arising in other applications in that valid data exists only at grid po...
James E. Fowler, Daniel N. Fox