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ICINCO
2010
177views Robotics» more  ICINCO 2010»
13 years 6 months ago
A Practical Method for Self-adapting Gaussian Expectation Maximization
Nicola Greggio, Alexandre Bernardino, José ...
VLSID
2007
IEEE
131views VLSI» more  VLSID 2007»
14 years 9 months ago
Probabilistic Self-Adaptation of Nanoscale CMOS Circuits: Yield Maximization under Increased Intra-Die Variations
As technology scales to 40nm and beyond, intra-die process variability will cause large delay and leakage variations across a chip in addition to expected die-to-die variations. I...
Maryam Ashouei, Muhammad Mudassar Nisar, Abhijit C...
ICPR
2010
IEEE
13 years 7 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...
WSCG
2004
245views more  WSCG 2004»
13 years 10 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
14 years 2 months ago
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
Christian Borgelt, Rudolf Kruse