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» On the Structure of Low Sets
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BMCBI
2006
203views more  BMCBI 2006»
13 years 7 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
WADS
2009
Springer
265views Algorithms» more  WADS 2009»
14 years 2 months ago
A Distribution-Sensitive Dictionary with Low Space Overhead
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...
Prosenjit Bose, John Howat, Pat Morin
HCI
2009
13 years 5 months ago
Mobile-Banking Adoption and Usage by Low-Literate, Low-Income Users in the Developing World
Due to the increasing penetration of mobile phones even in poor communities, mobile-phone-enabled banking (m-banking) services are being increasingly targeted at the "unbanked...
Indrani Medhi, Aishwarya Ratan, Kentaro Toyama
NMA
2010
13 years 5 months ago
Modeling of the SET and RESET Process in Bipolar Resistive Oxide-Based Memory Using Monte Carlo Simulations
A stochastic model of the resistive switching mechanism in bipolar oxide-based resistive random access memory (RRAM) is presented. The distribution of electron occupation probabili...
Alexander Makarov, Viktor Sverdlov, Siegfried Selb...
NIPS
2007
13 years 9 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...