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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 2 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SODA
2010
ACM
169views Algorithms» more  SODA 2010»
16 years 2 months ago
Efficiently Decodable Non-adaptive Group Testing
We consider the following "efficiently decodable" nonadaptive group testing problem. There is an unknown string x {0, 1}n with at most d ones in it. We are allowed to t...
Piotr Indyk, Hung Q. Ngo, Atri Rudra
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
15 years 12 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
15 years 12 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
FSE
2009
Springer
159views Cryptology» more  FSE 2009»
15 years 12 months ago
Intel's New AES Instructions for Enhanced Performance and Security
The Advanced Encryption Standard (AES) is the Federal Information Processing Standard for symmetric encryption. It is widely believed to be secure and efficient, and is therefore b...
Shay Gueron
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