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» Biologically inspired signal processing
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ISBI
2009
IEEE
15 years 4 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin
ICA
2010
Springer
14 years 9 months ago
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation
We present an overview of the biomedical part of the 2010 community-based Signal Separation Evaluation Campaign (SiSEC2010), coordinated by the authors. In addition to the audio ta...
Shoko Araki, Fabian J. Theis, Guido Nolte, Dominik...
BMCBI
2010
110views more  BMCBI 2010»
14 years 9 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
BMCBI
2006
181views more  BMCBI 2006»
14 years 9 months ago
Automatic pathway building in biological association networks
Background: Scientific literature is a source of the most reliable and comprehensive knowledge about molecular interaction networks. Formalization of this knowledge is necessary f...
Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikov...
ICASSP
2009
IEEE
15 years 4 months ago
Audio classification from time-frequency texture
Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as ...
Guoshen Yu, Jean-Jacques E. Slotine