**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**4

# expectation maximization algorithm Related Abstracts

##### 4 Estimating X-Ray Spectra for Digital Mammography by Using the Expectation Maximization Algorithm: A Monte Carlo Simulation Study

**Authors:**
Chieh-Chun Chang,
Cheng-Ting Shih,
Yan-Lin Liu,
Shu-Jun Chang,
Jay Wu

**Abstract:**

**Keywords:**
X-Ray,
Digital mammography,
expectation maximization algorithm,
X-Ray spectrum

##### 3 Estimation of Transition and Emission Probabilities

**Authors:**
Aakansha Gupta,
Neha Vadnere,
Tapasvi Soni,
M. Anbarsi

**Abstract:**

**Keywords:**
Bioinformatics,
Model Parameters,
expectation maximization algorithm,
protein secondary structure prediction

##### 2 Facility Anomaly Detection with Gaussian Mixture Model

**Authors:**
Sungzoon Cho,
Sunghoon Park,
Hank Kim,
Jinwon An

**Abstract:**

**Keywords:**
expectation maximization algorithm,
Gaussian mixture model,
facility anomaly detection,
anomaly score

##### 1 Arabic Character Recognition Using Regression Curves with the Expectation Maximization Algorithm

**Authors:**
Abdullah A. AlShaher

**Abstract:**

^{nd}order of polynomials to model shapes within a training set. To estimate the regression models, we need to extract the required coefficients which describe the variations for a set of shape class. Hence, a least square method is used to estimate such modes. We then proceed by training these coefficients using the apparatus Expectation Maximization algorithm. Recognition is carried out by finding the least error landmarks displacement with respect to the model curves. Handwritten isolated Arabic characters are used to evaluate our approach.

**Keywords:**
Character Recognition,
expectation maximization algorithm,
regression curves,
handwritten Arabic letters