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» A Method for Dynamic Clustering of Data
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161
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TASLP
2010
102views more  TASLP 2010»
15 years 5 months ago
Representing Musical Sounds With an Interpolating State Model
—A computationally efficient algorithm is proposed for modeling and representing time-varying musical sounds. The aim is to encode individual sounds and not the statistical prop...
Anssi Klapuri, Tuomas Virtanen
ML
2010
ACM
193views Machine Learning» more  ML 2010»
15 years 1 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
CVPR
2000
IEEE
16 years 8 months ago
High Dynamic Range Imaging: Spatially Varying Pixel Exposures
While real scenes produce a wide range of brightness variations, vision systems use low dynamic range image detectors that typically provide 8 bits of brightness data at each pixe...
Shree K. Nayar, Tomoo Mitsunaga
188
Voted
DEXA
2009
Springer
167views Database» more  DEXA 2009»
16 years 1 months ago
Alignment of Noisy and Uniformly Scaled Time Series
The alignment of noisy and uniformly scaled time series is an important but difficult task. Given two time series, one of which is a uniformly stretched subsequence of the other, w...
Constanze Lipowsky, Egor Dranischnikow, Herbert G&...
PASTE
2010
ACM
15 years 11 months ago
Opportunities for concurrent dynamic analysis with explicit inter-core communication
Multicore is now the dominant processor trend, and the number of cores is rapidly increasing. The paradigm shift to multicore forces the redesign of the software stack, which incl...
Jungwoo Ha, Stephen P. Crago