- Professor Juan Raymundo Iglesias-León, Ph.D.edit
Research Interests: Computer Science, Algorithms, Artificial Intelligence, Shape Modeling, Principal Component Analysis, and 15 moreMedicine, Dimensionality Reduction, Humans, Computer Simulation, Segmentation, Three Dimensional Imaging, Artifacts, Reproducibility of Results, Statistical models, Sensitivity and Specificity, Curse of Dimensionality, Outlier, Spinal fractures, Vertebra, and Springer Ebooks
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S-means: Similarity Driven Clustering and Its application in Gravitational-Wave Astronomy Data Mining Hansheng Lei1, Lappoon R. Tang1, Juan R. Iglesias1 Soma Mukherjee2, and Soumya Mohanty2 1 Computer Science Department 2 The Center for... more
S-means: Similarity Driven Clustering and Its application in Gravitational-Wave Astronomy Data Mining Hansheng Lei1, Lappoon R. Tang1, Juan R. Iglesias1 Soma Mukherjee2, and Soumya Mohanty2 1 Computer Science Department 2 The Center for Gravitational Wave ...
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Research Interests: Computer Science, Algorithms, Artificial Intelligence, Computer Vision, Magnetic Resonance Imaging, and 12 moreMedicine, Brain, Humans, Segmentation, Multimodal imaging, Image Enhancement, Reproducibility of Results, Ground Truth, Sensitivity and Specificity, Contrast Media, Springer Ebooks, and Matching statistics
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Research Interests: Computer Science, Algorithms, Artificial Intelligence, Magnetic Resonance Imaging, Medicine, and 15 moreImage segmentation, Brain, Humans, Models, Computer Simulation, Segmentation, Feasibility Studies, Scanner, Image Enhancement, Observer Variation, Scanning, Reproducibility of Results, Sensitivity and Specificity, Parametric Statistics, and Parametric Model
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In this paper we present a new method for iris texture recognition for the purpose of human identification using statistical analysis of gray-level distribution. Many studies have been aimed at extracting iris features that are unique to... more
In this paper we present a new method for iris texture recognition for the purpose of human identification using statistical analysis of gray-level distribution. Many studies have been aimed at extracting iris features that are unique to every individual. While many have been successful, most requires complex filtering and processing. Our proposed method is based on a simple estimate of
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An effective and accurate identification of human individuals from their iris features is largely dependent on proper segmentation of the iris and the pupil features from camera images. Most modern segmentation schemes exploit the... more
An effective and accurate identification of human individuals from their iris features is largely dependent on proper segmentation of the iris and the pupil features from camera images. Most modern segmentation schemes exploit the circular geometry of the iris to fit a circle or an ellipse to an edge map of the iris. In this paper, we present a new
Research Interests: Mathematics, Computer Science, Artificial Intelligence, Computer Vision, Dynamic programming, and 15 moreImage segmentation, Geometry, Edge Detection, Change Point, Segmentation, Facial Features, Feature Extraction, Eye, Robustness, Local minima, Iris, IRIS RECOGNITION, Cost Function, Field of View, and Ellipse
We present a logic programming based framework for rapidly translating one formal notation Ls \mathcal{L}_s to another formal notation Lt \mathcal{L}_t . The framework is based on Horn logical semantics—a logic programming encoding of... more
We present a logic programming based framework for rapidly translating one formal notation Ls \mathcal{L}_s to another formal notation Lt \mathcal{L}_t . The framework is based on Horn logical semantics—a logic programming encoding of formal semantics. A Horn logical semantics of the language Ls \mathcal{L}_s is constructed which employs the parse trees of the language Lt \mathcal{L}_t as semantic domains