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» Neural networks: Algorithms and applications
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
CCS
2009
ACM
16 years 1 months ago
Multi-party off-the-record messaging
Most cryptographic algorithms provide a means for secret and authentic communication. However, under many circumstances, the ability to repudiate messages or deny a conversation i...
Ian Goldberg, Berkant Ustaoglu, Matthew Van Gundy,...
WWW
2009
ACM
16 years 7 months ago
Social search in "Small-World" experiments
The "algorithmic small-world hypothesis" states that not only are pairs of individuals in a large social network connected by short paths, but that ordinary individuals ...
Sharad Goel, Roby Muhamad, Duncan J. Watts
PERCOM
2006
ACM
16 years 6 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
HPDC
2009
IEEE
16 years 1 months ago
TakTuk, adaptive deployment of remote executions
This article deals with TakTuk, a middleware that deploys efficiently parallel remote executions on large scale grids (thousands of nodes). This tool is mostly intended for intera...
Benoit Claudel, Guillaume Huard, Olivier Richard