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An optimization framework for feature extraction

https://doi.org/10.1007/bf01257823
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Encyclopedia of Statistical Sciences
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A Mathematical Theory of Communication
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A Mathematical Theory of Communication
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Constructing simple stable descriptions for image partitioning
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Snakes: Active contour models
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Model driven edge detection
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Decision theory and artificial intelligence: I. A semantics-based region analyzer
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Symbolic reasoning among 3-D models and 2-D images
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Generalizing the Hough transform to detect arbitrary shapes
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Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique
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Model-based strategies for high-level robot vision
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Detecting buildings in aerial images
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LINEAR DELINEATION
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Coding and Information Theory
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A nonlinear edge detection technique
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The Representation and Matching of Pictorial Structures
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Digital Step Edges from Zero Crossing of Second Directional Derivatives
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3DPO: A Three- Dimensional Part Orientation System
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces
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Using Context to Control Computer Vision Algorithms
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Semi-Automatic Feature Extraction by Snakes
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Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data
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MINIMUM DESCRIPTION LENGTH METHOD FOR FACET MATCHING
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