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» Reducing the Complexity of Reductions
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BMCBI
2010
163views more  BMCBI 2010»
15 years 6 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
TMI
2008
116views more  TMI 2008»
15 years 6 months ago
Reduced Encoding Diffusion Spectrum Imaging Implemented With a Bi-Gaussian Model
Diffusion spectrum imaging (DSI) can map complex fiber microstructures in tissues by characterizing their 3-D water diffusion spectra. However, a long acquisition time is required ...
Chun-Hung Yeh, Kuan-Hung Cho, Hsuan-Cheng Lin, Jiu...
TCSV
2002
94views more  TCSV 2002»
15 years 6 months ago
Drift compensation for reduced spatial resolution transcoding
This paper discusses the problem of reduced-resolution transcoding of compressed video bitstreams. An analysis of drift errors is provided to identify the sources of quality degra...
Peng Yin, Anthony Vetro, Bede Liu, Huifang Sun
VTC
2006
IEEE
138views Communications» more  VTC 2006»
16 years 16 days ago
Transmit Precoding for the Multiple Antenna Broadcast Channel
— In this paper we compare the following two methods of transmit precoding for the multiple antenna broadcast channel: vector perturbation applied to channel inversion (also term...
Manish Airy, Sandeep Bhadra, Robert W. Heath Jr., ...
FUIN
2002
108views more  FUIN 2002»
15 years 6 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak