Cope, E.
* 2010: Effects Of Temperature Variation On Single-lens-reflex Digital Camera Calibration Parameters, The
Cope, J.S.[James S.]
* 2010: Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms, The
* 2010: Plant Texture Classification Using Gabor Co-occurrences
* 2010: Shape and Texture Based Plant Leaf Classification
* 2012: Classification of High-Dimension PDFs Using the Hungarian Algorithm
* 2012: Classifying Plant Leaves from Their Margins Using Dynamic Time Warping
* 2012: Utilizing the Hungarian Algorithm for Improved Classification of High-Dimension Probability Density Functions in an Image Recognition Problem
Cope, M.[Martin]
* 2024: Characterizing Smoke Haze Events in Australia Using a Hybrid Approach of Satellite-Based Aerosol Optical Depth and Chemical Transport Modeling
Cope, S.[Samantha]
* 2023: Building a Practical Multi-Sensor Platform for Monitoring Vessel Activity near Marine Protected Areas: Case Studies from Urban and Remote Locations
Copeland, A.
* 2009: Enhancing the surgeons reality: Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of cerebrovascular surgery
Copeland, A.C.
* 1994: Localized Radon Transform-Based Detection of Linear Features in Noisy Images
* 1995: Psychophysical Experiments for Evaluating a Selected Image Clutter Measures
* 1995: Radon Transform based Ship-Wake Detection
* 1996: Evaluating Image Metrics for Target Discrimination using Psychophysical Experiments
* 1996: Texture Perception in Humans and Computers: Models and Psychophysical Experiments
Includes: Copeland, A.C. Copeland, A.C.[Anthony C.]
Copeland, A.D.
* 2010: Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
Copenhaver, K.[Ken]
* 2021: Examining the Characteristics of the Cropland Data Layer in the Context of Estimating Land Cover Change
Copes, W.S.[Wayne S.]
* 1972: Reduction of the class of feature evaluation techniques in pattern analysis
Copestake, A.[Ann]
* 2018: How Clever Is the FiLM Model, and How Clever Can it Be?