Search Results - "Sklansky, Jack"

Comparison of algorithms that select features for pattern classifiers by Kudo, Mineichi, Sklansky, Jack

“…A comparative study of algorithms for large-scale feature selection (where the number of features is over 50) is carried out. In the study, the goodness of a…”
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Computer-aided, case-based diagnosis of mammographic regions of interest containing microcalcifications by Sklansky, J, Tao, E Y, Bazargan, M, Ornes, C J, Murchison, R C, Teklehaimanot, S

“…The purpose of this study was to evaluate the effectiveness of a mapped-database diagnostic system in reducing the incidence of benign biopsies and…”
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Piecewise linear classifiers using binary tree structure and genetic algorithm by Chai, Bing-Bing, Huang, Tong, Zhuang, Xinhua, Zhao, Yunxin, Sklansky, Jack

“…A linear decision binary tree structure is proposed in constructing piecewise linear classifiers with the Genetic Algorithm (GA) being shaped and employed at…”
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Locally Trained Piecewise Linear Classifiers by Sklansky, Jack, Michelotti, Leo

“…We describe a versatile technique for designing computer algorithms for separating multiple-dimensional data (feature vectors) into two classes. We refer to…”
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Segmenting multisensor aerial images in class–scale space by Lofy, Brian, Sklansky, Jack

“…We introduce a class–scale space for automated segmentation of aerial images from diverse sensors. We describe the performance of a segmentation algorithm…”
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Technical Note: A new TLD‐phantom measurement system for determining dose distribution levels in the right and left breast from spiral CT chest imaging by Hall, Jeffery L., Navarrete, Jorge L., Surprenant, Edgar, Sklansky, Jack, Eisenman, Jack I.

“…Two specially designed plastic/aluminum phantoms positioned thermoluminescent dosimeters (TLDs) at the right and left breast location of an anthrophomorophic…”
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A neural network that visualizes what it classifies by Ornes, Chester, Sklansky, Jack

“…We describe a high-performance neural classifier that transforms a training set of multi-dimensional features into a set of visually meaningful points in a…”
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Technical note: A new TLD-phantom measurement system for determining dose distribution levels in the right and left breast from spiral CT chest imaging by Hall, Jeffery L, Navarrete, Jorge L, Surprenant, Edgar, Sklansky, Jack, Eisenman, Jack I

“…Two specially designed plastic/aluminum phantoms positioned thermoluminescent dosimeters (TLDs) at the right and left breast location of an anthrophomorophic…”
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On the Hough Technique for Curve Detection by Sklansky

“…The usual Hough procedure for detecting curves embedded in digitized images involves a transformation from image space I to parameter space P. In this note we…”
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Reconstructing the 3-D medial axes of coronary arteries in single-view cineangiograms by Nguyen, T.V., Sklansky, J.

“…Describes a technique for reconstructing the skeletal structure of coronary arteries from a succession of frames of a single-view cineangiogram. The authors…”
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Flexible mask subtraction for digital angiography by Van Tran, L., Sklansky, J.

“…A flexible-mask algorithm that effectively provides correction for motion artifacts and gray-level variations in digital subtraction angiography (DSA) images…”
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Reconstructing the cross sections of coronary arteries from biplane angiograms by van Tran, L., Bahn, R.C., Sklansky, J.

“…An algorithm that reconstructs the cross sections of the lumens of coronary arteries from two mutually orthogonal X-ray projections is described. The algorithm…”
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Biplane X-ray angiograms, intravascular ultrasound, and 3D visualization of coronary vessels by Hoffmann, Kenneth R, Wahle, Andreas, Pellot-Barakat, Claire, Sklansky, Jack, Sonka, Milan

“…The technology for determination of the 3D vascular tree and quantitative characterization of the vessel lumen and vessel wall has become available. With this…”
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Computational discovery for nonlinear classifiers by Sklansky, J.

“…The author describes an approach to computer-aided discovery of nonlinear classifiers and cluster finders for complex distributions of multidimensional data…”
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Colored Illumination for Enhancing Discriminability in Machine Vision by Vriesenga, Mark, Healey, Glenn, Sklansky, Jack, Peleg, Kalman

“…We describe how to design a colored illumination that maximizes the discriminability of objects in red-green-blue images and we describe the underlying…”
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Automated design of multiple-class piecewise linear classifiers by PARK, Y, SKLANSKY, J

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Robust classifiers by mixed adaptation by Gutfinger, D., Sklansky, J.

“…The production of robust classifiers by combining supervised training with unsupervised training is discussed. A supervised training phase exploits…”
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Biplane X-ray angiograms, intravascular ultrasound, and 3D visualization of coronary vessels by Hoffmann, K R, Wahle, A, Pellot-Barakat, C, Sklansky, J, Sonka, M

“…The technology for determination of the 3D vascular tree and quantitative characterization of the vessel lumen and vessel wall has become available. With this…”
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Neural modeling of piecewise linear classifiers by Vriesenga, M., Sklansky, J.

“…We show that every piecewise linear classifier can be constructed as a three-layer network of linear decision functions. We define neural modeling as the…”
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Measuring Concavity on a Rectangular Mosaic by Sklansky, J.

“…A theory for describing and measuring the concavities of cellular complexes (digitized silhouettes) is developed. This theory involves the use of the…”
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