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» Finding motifs using random projections
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FLAIRS
2006
15 years 8 months ago
Melody Track Identification in Music Symbolic Files
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them...
David Rizo, Pedro J. Ponce de León, Antonio...
ACISICIS
2008
IEEE
15 years 8 months ago
Efficient Projection for Compressed Sensing
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...
Vo Dinh Minh Nhat, Duc Vo, Subhash Challa, Sungyou...
AAAI
2008
15 years 8 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
IEEECGIV
2009
IEEE
16 years 1 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
BMCBI
2005
127views more  BMCBI 2005»
15 years 6 months ago
Genomes are covered with ubiquitous 11 bp periodic patterns, the "class A flexible patterns"
Background: The genomes of prokaryotes and lower eukaryotes display a very strong 11 bp periodic bias in the distribution of their nucleotides. This bias is present throughout a g...
Etienne Larsabal, Antoine Danchin