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STOC
2010
ACM
193views Algorithms» more  STOC 2010»
15 years 5 months ago
Privacy Amplification with Asymptotically Optimal Entropy Loss
We study the problem of "privacy amplification": key agreement between two parties who both know a weak secret w, such as a password. (Such a setting is ubiquitous on th...
Nishanth Chandran, Bhavana Kanukurthi, Rafail Ostr...
SIGCSE
2009
ACM
167views Education» more  SIGCSE 2009»
16 years 2 months ago
Python CS1 as preparation for C++ CS2
How suitable is a Python-based CS1 course as preparation for a C++-based CS2 course? After fifteen years of using C++ for both CS1 and CS2, the Computer Science Department at Mich...
Richard J. Enbody, William F. Punch, Mark McCullen
ICS
2007
Tsinghua U.
15 years 8 months ago
Optimization and bottleneck analysis of network block I/O in commodity storage systems
Building commodity networked storage systems is an important architectural trend; Commodity servers hosting a moderate number of consumer-grade disks and interconnected with a hig...
Manolis Marazakis, Vassilis Papaefstathiou, Angelo...
GIS
2004
ACM
16 years 3 months ago
Spatio-temporal aggregates over raster image data
Spatial, temporal and spatio-temporal aggregates over continuous streams of remotely sensed image data build a fundamental operation in many applications in the environmental scie...
Jie Zhang, Michael Gertz, Demet Aksoy
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 2 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy