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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 5 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
OSDI
2008
ACM
16 years 5 months ago
On the Impact of Disk Scrubbing on Energy Savings
The increasing use of computers for saving valuable data imposes stringent reliability constraints on storage systems. Reliability improvement via use of redundancy is a common pr...
Guanying Wang, Ali Raza Butt, Chris Gniady
DCC
2004
IEEE
16 years 4 months ago
Discrete Universal Filtering Through Incremental Parsing
In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
ECCV
2010
Springer
15 years 10 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
BMCBI
2008
165views more  BMCBI 2008»
15 years 5 months ago
SWS: accessing SRS sites contents through Web Services
Background: Web Services and Workflow Management Systems can support creation and deployment of network systems, able to automate data analysis and retrieval processes in biomedic...
Paolo Romano 0001, Domenico Marra