Search Results - "Karayiannis, B."

Detection of microcalcifications in digital mammograms using wavelets by Wang, T.C., Karayiannis, N.B.

“…This paper presents an approach for detecting micro-calcifications in digital mammograms employing wavelet-based subband image decomposition. The…”
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A Multistage System for the Automated Detection of Epileptic Seizures in Neonatal Electroencephalography by Mitra, Joyeeta, Glover, John R, Ktonas, Periklis Y, Kumar, Arun Thitai, Mukherjee, Amit, Karayiannis, Nicolaos B, Frost, James D, Hrachovy, Richard A, Mizrahi, Eli M

“…This paper describes the design and test results of a three-stage automated system for neonatal EEG seizure detection. Stage I of the system is the initial…”
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Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification by Karayiannis, N.B., Yaohua Xiong

“…This paper introduces a learning algorithm that can be used for training reformulated radial basis function neural networks (RBFNNs) capable of identifying…”
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On the construction and training of reformulated radial basis function neural networks by Karayiannis, N.B., Randolph-Gips, M.M.

“…Presents a systematic approach for constructing reformulated radial basis function (RBF) neural networks, which was developed to facilitate their training by…”
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Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators by Karayiannis, N.B.

“…This paper presents the development and investigates the properties of ordered weighted learning vector quantization (LVQ) and clustering algorithms. These…”
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Quantifying motion in video recordings of neonatal seizures by regularized optical flow methods by Karayiannis, N.B., Varughese, B., Guozhi Tao, Frost, J.D., Wise, M.S., Mizrahi, E.M.

“…This paper presents the development of regularized optical flow computation methods and an evaluation of their performance in the extraction of quantitative…”
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A Multistage System for the Automated Detection of Epileptic Seizures in Neonatal Electroencephalography by Mitra, Joyeeta, Glover, John R., Ktonas, Periklis Y., Kumar, Arun Thitai, Mukherjee, Amit, Karayiannis, Nicolaos B., Frost, James D., Hrachovy, Richard A., Mizrahi, Eli M.

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Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: single-norm algorithms by Karayiannis, N.B., Randolph-Gips, M.M.

“…This paper presents the development of soft clustering and learning vector quantization (LVQ) algorithms that rely on a weighted norm to measure the distance…”
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Computerized Motion Analysis of Videotaped Neonatal Seizures of Epileptic Origin by Karayiannis, Nicolaos B., Tao, Guozhi, Xiong, Yaohua, Sami, Abdul, Varughese, Bindu, Frost, James D., Wise, Merrill S., Mizrahi, Eli M.

“…Purpose: The main objective of this research is the development of automated video processing and analysis procedures aimed at the recognition and…”
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Detection of pseudosinusoidal epileptic seizure segments in the neonatal EEG by cascading a rule-based algorithm with a neural network by Karayiannis, N.B., Mukherjee, A., Glover, J.R., Ktonas, P.Y., Frost, J.D., Hrachovy, R.A., Mizrahi, E.M.

“…This paper presents an approach to detect epileptic seizure segments in the neonatal electroencephalogram (EEG) by characterizing the spectral features of the…”
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Segmentation of magnetic resonance images using fuzzy algorithms for learning vector quantization by Karayiannis, N.B., Pin-I Pai

“…Evaluates a segmentation technique for magnetic resonance (MR) images of the brain based on fuzzy algorithms for learning vector quantization (FALVQ). These…”
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Automated extraction of temporal motor activity signals from video recordings of neonatal seizures based on adaptive block matching by Karayiannis, N.B., Sami, A., Frost, J.D., Wise, M.S., Mizrahi, E.M.

“…This paper presents an automated procedure developed to extract quantitative information from video recordings of neonatal seizures in the form of motor…”
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An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering by Karayiannis, N.B., Bezdek, J.C.

“…Derives an interpretation for a family of competitive learning algorithms and investigates their relationship to fuzzy c-means and fuzzy learning vector…”
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Fuzzy vector quantization algorithms and their application in image compression by Karayiannis, N.B., Pai, P.-I.

“…This paper presents the development and evaluation of fuzzy vector quantization algorithms. These algorithms are designed to achieve the quality of vector…”
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Quantifying motion in video recordings of neonatal seizures by robust motion trackers based on block motion models by Karayiannis, N.B., Yaohua Xiong, Frost, J.D., Wise, M.S., Mizrahi, E.M.

“…This paper introduces a methodology for the development of robust motion trackers for video based on block motion models. According to this methodology, the…”
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Regularized adaptive detectors for code-division multiple-access signals by Karayiannis, N.B., Chookiarti, J.

“…This paper presents the development of regularized adaptive detectors for code-division multiple-access (CDMA) wireless-communication systems. Multiuser CDMA…”
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Extraction of motion strength and motor activity signals from video recordings of neonatal seizures by Karayiannis, N.B., Srinivasan, S., Bhattacharya, R., Wise, M.S., Frost, J.D., Mizrahi, E.M.

“…Presents two methods developed to extract quantitative information from video recordings of neonatal seizures in the form of temporal motion strength and motor…”
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Directly estimated adaptive detectors for code-division multiple-access signals by Karayiannis, N.B., Chookiarti, J.

“…This paper presents adaptive multiuser detectors for code-division multiple-access (CDMA) signals in wireless communication systems. Directly estimated…”
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An improved procedure for the extraction of temporal motion strength signals from video recordings of neonatal seizures by Karayiannis, Nicolaos B., Tao, Guozhi

“…This paper presents a procedure developed to extract quantitative motion information from video recordings of neonatal seizures in the form of temporal motion…”
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Improving the accuracy and reliability of motion tracking methods used for extracting temporal motor activity signals from video recordings of neonatal seizures by Karayiannis, N.B., Yaohua Xiong, Frost, J.D., Wise, M.S., Mizrahi, E.M.

“…This paper presents an approach for improving the accuracy and reliability of motion tracking methods developed for video based on block motion models. This…”
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