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KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 3 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
CN
2007
132views more  CN 2007»
14 years 11 months ago
FluNet: A hybrid internet simulator for fast queue regimes
Motivated by the scale and complexity of simulating large-scale networks, recent research has focused on hybrid fluid/packet simulators, where fluid models are combined with pac...
Yung Yi, Sanjay Shakkottai
ICIP
2009
IEEE
14 years 9 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
IACR
2011
139views more  IACR 2011»
13 years 11 months ago
Improved Meet-in-the-Middle Cryptanalysis of KTANTAN
We revisit meet-in-the-middle attacks on block ciphers and recent developments in meet-in-the-middle preimage attacks on hash functions. Despite the presence of a secret key in the...
Lei Wei, Christian Rechberger, Jian Guo 0001, Hong...
CVPR
2004
IEEE
16 years 1 months ago
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects from a large model ...
Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rake...