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» A Privacy Preserving Framework for Gaussian Mixture Models
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ICASSP
2009
IEEE
14 years 3 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian
JCP
2007
121views more  JCP 2007»
13 years 8 months ago
p-Trust: A New Model of Trust to Allow Finer Control Over Privacy in Peer-to-Peer Framework
— Every time a user conducts an electronic transaction over the Internet a wealth of personal information is revealed, either voluntarily or involuntarily. This causes serious br...
Sudip Chakraborty, Indrajit Ray
PAMI
2007
159views more  PAMI 2007»
13 years 8 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 8 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ICPR
2010
IEEE
13 years 8 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...