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» Evaluating music sequence models through missing data
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KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 7 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
Jie Tao, Wolfgang Karl
ISMIR
2003
Springer
161views Music» more  ISMIR 2003»
13 years 10 months ago
Improving polyphonic and poly-instrumental music to score alignment
Music alignment links events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automat...
Ferréol Soulez, Xavier Rodet, Diemo Schwarz
SDM
2003
SIAM
156views Data Mining» more  SDM 2003»
13 years 6 months ago
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...
MICCAI
2010
Springer
13 years 3 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...