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» Optimizing for parallelism and data locality
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103
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RECSYS
2010
ACM
15 years 23 days ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
117
Voted
COMCOM
2008
91views more  COMCOM 2008»
15 years 20 days ago
A WEP post-processing algorithm for a Robust 802.11 WLAN implementation
Wired Equivalent Privacy (WEP) protocol used within the IEEE 802.11 standard has "major security flaws" thus wireless local area networks (WLANs) using the protocol are ...
Taskin Koçak, Mohit Jagetia
IJCV
2000
164views more  IJCV 2000»
15 years 11 days ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
DASFAA
2011
IEEE
250views Database» more  DASFAA 2011»
14 years 4 months ago
An FTL-Agnostic Layer to Improve Random Write on Flash Memory
Flash memories are considered a competitive alternative to rotating disks as non-volatile data storage for database management systems. However, even if the Flash Translation Layer...
Brice Chardin, Olivier Pasteur, Jean-Marc Petit
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 2 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...