Sklain, C.[Cheryl]
Co Author Listing * Multilevel Vision Based Spatial Reasoning for Robotic Tasks
Sklair, C.
Co Author Listing * Employing Sensor Repositioning to Refine Spatial Reasoning in an Industrial Robotic Environment
Sklair, C.W.
Co Author Listing * Perspective View of Three Points, The
Sklansky, J.[Jack]
Co Author Listing * Automated design of linear tree classifiers
* Automated design of piecewise-linear classifiers of multiple-class data
* Automatic Detection of Rib Contours in Chest Radiographs
* Biomedical Image Analysis
* Biplane analysis of atheromatous coronary arteries
* Colored Illumination for Enhancing Discriminability in Machine Vision
* Comparison of algorithms that select features for pattern classifiers
* Controlling Illumination color to Enhance Object Discriminability
* Detecting the Edges of Lung Tumors by Classification Techniques
* Detection and Segmentation of Blobs in Infrared Images, The
* Digital and Cellular Convexity
* Edge Detection by Estimation of Multiple-Order Derivatives
* Efficient Two-Dimensional Filters Using B-Spline Functions
* Estimating optical flow for large interframe displacements
* Estimating Optical Flow from Clustered Trajectories in Velocity-Time
* Experiments on Mapping Techniques for Exploratory Pattern Analysis
* Extracting Nonrigid Moving Objects By Temporal Edges
* Fast polygonal approximation of digitized curves
* Fast Recursive Algorithm for Binary-Valued Two-Dimensional Filters, A
* Fast tree classifiers
* Finding Circles by an Array of Accumulators
* Finding the Convex Hull of a Simple Polygon
* Finding the Rib Cage in Chest Radiographs
* Gestalt-Guided Boundary Follower for X-Ray Images of Lung Nodules, A
* Graph-Based Thinning for Binary Images
* Image Segmentation and Feature Extraction
* Interpolation of cinematic sequences
* Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs, A
* Large-Scale Feature Selection
* Linear classifiers by window training and basis exchange
* Markov Random Field Models of Digitized Image Texture
* Markov Random Fields as Models of Digitized Image Texture
* Measuring Concavity on a Rectangular Mosaic
* Minimal Rectangular Partitions of Digitized Blobs
* Minimum Perimeter Polygons of Digitized Silhouettes
* Multiple-Order Derivatives for Detecting Local Image Characteristics
* Multiresolution method for reconstructing the cross sections of coronary arteries from biplane angiograms
* Neural Modeling of Piecewise Linear Classifiers
* Neural-Network That Visualizes What It Classifies, A
* Note on Duhamel Integrals and Running Average Filters, A
* Note on Genetic Algorithms for Large-Scale Feature Selection, A
* On Automatic Feature Selection
* On Filling Cellular Concavities
* On the Hough Technique for Curve Detection
* Overview of Mapping Techniques for Exploratory Pattern Analysis, An
* Parallel Detection of Concavities in Cellular Blobs
* Parallel Mechanism for Describing Silhouettes, A
* Piecewise Linear Detection of Boundaries in Chest Radiographs
* Piecewise-Linear Classifiers Using Binary-Tree Structure and Genetic Algorithm
* Recognition of Convex Blobs
* Reconstructing a Network of Three-Dimensional Curves from a Small Number of Projections
* Recursive Algorithms for Implementing Digital Image Filters
* relative neighborhood graph for mixed feature variables, The
* Robust classifiers by mixed adaptation
* Robust Curve Detection by Temporal Geodesics
* Segmentation of People in Motion
* Segmenting multisensor aerial images in class-scale space
* Skeleton Generation from x,y Boundary Sequences
* Skeletons from Sequential Boundary Data
* Theory of Nonuniformly Digitized Binary Pictures, A
* Thresholded Convolutions Operations
* Use of Markov Random Fields as Models of Texture, The
* Visual Neural Classifier, A
* Visual Neural Network that Learns Perceptual Relationships, A
Includes: Sklansky, J.[Jack] Sklansky, J.
64 for Sklansky, J.