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ICINCO
2010
177views Robotics» more  ICINCO 2010»
13 years 2 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 5 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 2 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 6 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»
13 years 10 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