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» A Privacy Preserving Framework for Gaussian Mixture Models
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TASLP
2010
138views more  TASLP 2010»
13 years 7 months ago
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals
— Extracting the main melody from a polyphonic music recording seems natural even to untrained human listeners. To a certain extent it is related to the concept of source separat...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
ASIACRYPT
2011
Springer
12 years 8 months ago
Noiseless Database Privacy
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Sr...
NIPS
2004
13 years 10 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
ICASSP
2011
IEEE
13 years 11 days ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 6 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava