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The top documents tagged [training images slide]
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1 Markov network True Original 50x58 The Markov network algorithm hallucinates those vertical rectangles that it was trained on. Training images
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1 Algorithms compared Bicubic Interpolation Mitra's Directional Filter Fuzzy Logic Filter Vector Quantization VISTA
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Evidential modeling for pose estimation Fabio Cuzzolin, Ruggero Frezza Computer Science Department UCLA
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Object Recognizing We will discuss: Features Classifiers Example ‘winning’ system
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The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL An Incremental Weighted Least Squares Approach To Surface Light Fields Greg Coombe Anselmo Lastra
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Learning deformable shape models from images. Goal: localize boundaries of new class instances Training data Training: bounding-boxes Testing: object
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Object Recognition by Parts Object recognition started with line segments. - Roberts recognized objects from line segments and junctions. - This led to
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Object Recognizing. Object Classes Individual Recognition
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