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Comparing Methods for segmentation of Microcalcification Clusters in Digitized Mammograms

Computer Science – Computer Vision and Pattern Recognition
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Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark

Computer Science – Computer Vision and Pattern Recognition
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Compensating Interpolation Distortion by Using New Optimized Modular Method

Computer Science – Computer Vision and Pattern Recognition
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Competitive Analysis of Minimum-Cut Maximum Flow Algorithms in Vision Problems

Computer Science – Computer Vision and Pattern Recognition
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Complex Networks: New Concepts and Tools for Real-Time Imaging and Vision

Computer Science – Computer Vision and Pattern Recognition
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Compressed sensing of astronomical images: orthogonal wavelets domains

Computer Science – Computer Vision and Pattern Recognition
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Compression Rate Method for Empirical Science and Application to Computer Vision

Computer Science – Computer Vision and Pattern Recognition
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Compressive Acquisition of Dynamic Scenes

Computer Science – Computer Vision and Pattern Recognition
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Compressive Imaging using Approximate Message Passing and a Markov-Tree Prior

Computer Science – Computer Vision and Pattern Recognition
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Computerized Face Detection and Recognition

Computer Science – Computer Vision and Pattern Recognition
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Conceptualization of seeded region growing by pixels aggregation. Part 1: the framework

Computer Science – Computer Vision and Pattern Recognition
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Conceptualization of seeded region growing by pixels aggregation. Part 2: how to localize a final partition invariant about the seeded region initialisation order

Computer Science – Computer Vision and Pattern Recognition
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Conceptualization of seeded region growing by pixels aggregation. Part 3: a wide range of algorithms

Computer Science – Computer Vision and Pattern Recognition
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Conceptualization of seeded region growing by pixels aggregation. Part 4: Simple, generic and robust extraction of grains in granular materials obtained by X-ray tomography

Computer Science – Computer Vision and Pattern Recognition
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Conditional Expressions for Blind Deconvolution: Derivative form

Computer Science – Computer Vision and Pattern Recognition
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Conditional Expressions for Blind Deconvolution: Multi-point form

Computer Science – Computer Vision and Pattern Recognition
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Confidence-Based Dynamic Classifier Combination For Mean-Shift Tracking

Computer Science – Computer Vision and Pattern Recognition
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Conjugate Variables as a Resource in Signal and Image Processing

Computer Science – Computer Vision and Pattern Recognition
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Connectivity-Enforcing Hough Transform for the Robust Extraction of Line Segments

Computer Science – Computer Vision and Pattern Recognition
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Considerations and Results in Multimedia and DVB Application Development on Philips Nexperia Platform

Computer Science – Computer Vision and Pattern Recognition
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