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ICA
2012
Springer
13 years 12 months ago
Online PLCA for Real-Time Semi-supervised Source Separation
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis
CVPR
2012
IEEE
13 years 6 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
CVPR
2003
IEEE
16 years 6 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
CVPR
2006
IEEE
16 years 6 months ago
Bilayer Segmentation of Live Video
This paper presents an algorithm capable of real-time separation of foreground from background in monocular video sequences. Automatic segmentation of layers from colour/contrast ...
Antonio Criminisi, Geoffrey Cross, Andrew Blake, V...