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CVPR
2007
IEEE
14 years 9 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
MICAI
2007
Springer
14 years 1 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
ICPR
2010
IEEE
13 years 5 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
ISMIR
2004
Springer
125views Music» more  ISMIR 2004»
14 years 25 days ago
Gaussian Mixture Models For Extraction Of Melodic Lines From Audio Recordings
The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. We base our work on the use of expectation maximization algorithm, which is employed...
Matija Marolt
DIS
2001
Springer
13 years 12 months ago
Separation of Photoelectrons via Multivariate Maxwellian Mixture Model
Electron velocity distribution obtained by direct spacecraft observation in space is contaminated by photoelectrons. The photoelectrons are generated due to the solar ultraviolet r...
Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi