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» A Probabilistic Background Model for Tracking
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PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
ISMIR
2005
Springer
191views Music» more  ISMIR 2005»
14 years 1 months ago
Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection
This paper presents a novel drum transcription system for polyphonic music. The use of a band-wise harmonic/noise decomposition allows the suppression of the deterministic part of...
Olivier Gillet, Gaël Richard
ICASSP
2009
IEEE
14 years 2 months ago
An iterative approach to monaural musical mixture de-soloing
In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instr...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona