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» Exploiting Deep Structure
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SAC
2010
ACM
14 years 12 months ago
Improving cost and accuracy of DPI traffic classifiers
Traffic classification through Deep Packet Inspection (DPI) is considered extremely expensive in terms of processing costs, leading to the conclusion that this technique is not su...
Niccolo Cascarano, Luigi Ciminiera, Fulvio Risso
EUROSEC
2009
ACM
15 years 6 months ago
Deep packet anonymization
Network traces of Internet attacks are among the most valuable resources for network analysts and security researchers. However, organizations and researchers are usually reluctan...
Michalis Foukarakis, Demetres Antoniades, Michalis...
PRDC
2005
IEEE
15 years 5 months ago
Partitioned Cache Shadowing for Deep Sub-Micron (DSM) Regime
An important issue in modern cache designs is bridging the gap between wire and device delays. This warrants the use of more regular and modular structures to mask wire latencies....
Heng Xu, Arun K. Somani
NIPS
2007
15 years 1 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ACL
2004
15 years 1 months ago
Deep Dependencies from Context-Free Statistical Parsers: Correcting the Surface Dependency Approximation
We present a linguistically-motivated algorithm for reconstructing nonlocal dependency in broad-coverage context-free parse trees derived from treebanks. We use an algorithm based...
Roger Levy, Christopher D. Manning