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Journal of Computational Biology, ISSN 1066-5277, 11/2018, Volume 25, Issue 11, pp. 1247 - 1256
Journal Article
Journal of Medical Systems, ISSN 0148-5598, 1/2017, Volume 41, Issue 1, pp. 1 - 9
The Fuzzy C Means (FCM) and Expectation Maximization (EM) algorithms are the most prevalent methods for automatic segmentation of MR brain images into three... 
Fuzzy C means | Medicine & Public Health | MR brain image segmentation | Statistics for Life Sciences, Medicine, Health Sciences | Expectation maximization | Health Informatics | Gaussian mixture model | MEDICAL INFORMATICS | INFORMATION | HEALTH CARE SCIENCES & SERVICES | FRAMEWORK | MODEL | Signal processing | Models | Engineering schools | Algorithms | Analysis
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2012, Volume 45, Issue 12, pp. 4237 - 4249
The removal of noise patterns in handwritten images requires careful processing. A noise pattern belongs to a class that we have either seen or not seen... 
Expectation maximization | Handwritten images | Recognition | Optimization | Fuzzy inference systems | Denoising | DOCUMENT IMAGES | LOGIC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Image processing | Analysis | Equipment and supplies | Fuzzy logic | Noise | Images | Inference | Fuzzy set theory | Fuzzy
Journal Article
Annals of Nuclear Energy, ISSN 0306-4549, 12/2017, Volume 110, pp. 739 - 752
Journal Article
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), ISSN 1094-687X, 07/2013, Volume 2013, pp. 3359 - 3362
Visualization of cerebrospinal fluid (CSF), that flow in the brain and spinal cord, plays an important role to detect neurodegenerative diseases such as... 
Image segmentation | Fluids | Magnetic resonance imaging | Clustering methods | Diseases | Biomedical imaging | Genetic algorithms | Magnetic Resonance Imaging | Algorithms | Image Processing, Computer-Assisted | Humans | Fuzzy Logic | Cerebrospinal Fluid - physiology | Alzheimer Disease - pathology | Cluster Analysis
Conference Proceeding
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 3014 - 3018
Non-data aided channel estimation is discussed in this paper to enable blind modulation classification in multiple-input multiple-output fading channels. The... 
modulation classification | Quadrature amplitude modulation | Channel estimation | fuzzy clustering | Nickel | MIMO | Rayleigh fading | Mathematical model | Bayesian inference | likelihood classifier | channel estimation | Fading | Classifiers | Maximization | Modulation | Classification | Fuzzy | Blinds | Channels
Conference Proceeding
Journal of medical systems, 01/2017, Volume 41, Issue 1, p. 15
The Fuzzy C Means (FCM) and Expectation Maximization (EM) algorithms are the most prevalent methods for automatic segmentation of MR brain images into three... 
Brain - diagnostic imaging | Algorithms | Humans | Magnetic Resonance Imaging - methods | Image Processing, Computer-Assisted - methods | Fuzzy Logic
Journal Article
International Journal of Applied Engineering Research, ISSN 0973-4562, 2015, Volume 10, Issue 49, pp. 63 - 66
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2006, Volume 15, Issue 8, pp. 2208 - 2225
This paper deals with the problem of badly posed image classification. Although underestimated in practice, bad-posedness is likely to affect many real-world... 
Image processing | remotely sensed images | texture information | Gaussian distribution | data clustering | Badly posed image classification | Remote sensing | Unsupervised learning | image mapping | inductive learning | Supervised learning | Clustering algorithms | Communications technology | Computational efficiency | generalization capability | Autocorrelation | semisupervised samples | Image classification | Generalization capability | Texture information | Semisupervised samples | Data clustering | Inductive learning | Image mapping | Remotely sensed images | TEXTURE SEGMENTATION | supervised learning | PERFORMANCE | REMOTE-SENSING IMAGES | FUZZY CLUSTERING ALGORITHMS | IGNORANCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | unsupervised learning | ENGINEERING, ELECTRICAL & ELECTRONIC | badly posed image classification | EXTRACTION | PATTERN-RECOGNITION | NEURAL-NETWORKS | COMPUTER VISION | MARKOV RANDOM-FIELDS | Information Storage and Retrieval - methods | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Models, Statistical | Artifacts | Computer Graphics | Likelihood Functions | Algorithms | Numerical Analysis, Computer-Assisted | Signal Processing, Computer-Assisted | Image Enhancement - methods | Pattern Recognition, Automated - methods | Cluster Analysis | Inductive reasoning | Analysis | Methods | Cluster set theory | Digital mapping | Studies | Classifiers | Scanning electron microscopy | Maximization | Images | Surface layer | Mapping | Texture
Journal Article
International Journal of Computer Applications, ISSN 0975-8887, 01/2014, Volume 107, Issue 13
  Now a days, Text clustering becomes an important application to organize the data and to extract useful information from the available corpus. Many previous... 
Fuzzy logic | Algorithms | Clusters | Texts | Sentences | Fuzzy set theory | Fuzzy | Clustering
Journal Article
Lecture Notes in Electrical Engineering, ISSN 1876-1100, 2013, Volume 178, Issue 3, pp. 323 - 329
Conference Proceeding
Neural Computing and Applications, ISSN 0941-0643, 4/2011, Volume 20, Issue 3, pp. 403 - 415
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2015, Volume 57, pp. 1149 - 1159
Statistical measure of finding Similar Sentences using a novel Fuzzy clustering algorithm framework is developed which organizes text from one or more... 
Fuzzy Clustering | Maximization | Similar Sentences | Page Rank | Expectation
Journal Article
JOURNAL OF INFRARED AND MILLIMETER WAVES, ISSN 1001-9014, 10/2010, Volume 29, Issue 5, pp. 383 - 388
An unsupervised change detection method based on fast expectation-maximization (EM) algorithm and fuzzy fusion for multi-band remote sensing images was... 
fast expectation-maximization (EM) algorithm | multiband remote sensing image | change detection | OPTICS | fuzzy fusion
Journal Article
ACTA PHYSICA SINICA, ISSN 1000-3290, 01/2009, Volume 58, Issue 1, pp. 107 - 112
This work explores how Epanechnikov mixture model can be translated to Mamdani-Lansen fuzzy model. The mathematical equivalence between the conditional mean of... 
GENETIC ALGORITHMS | LINGUISTIC RULES | Mamdani-Larsen fuzzy system | PHYSICS, MULTIDISCIPLINARY | Epanechnikov mixture models | MODEL | expectation maximization algorithm | IDENTIFICATION | LOGIC | chaotic time series
Journal Article
Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, ISSN 1001-9014, 10/2010, Volume 29, Issue 5, pp. 383 - 388
Journal Article
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