Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics) - Softcover
Book 5 of 302: Dover Books on Mathematics
Synopsis
This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise ― a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition.
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
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Statistical Optimization for Geometric Computation
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Paperback. Condition: As New. Reprint. slightly corrected republication of the Elsevier Science Amsterdam 1996 edition 509 pages. ".discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sonsor data that contain noise--a task involving autonomous robots guided by video cameras and sensors." ; 5 3/8 x 8 1/2 ". Seller Inventory # 52029
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Statistical Optimization For Geometric Computation : Theory And Practice
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Statistical Optimization for Geometric Computation: Theory and Practice (Paperback or Softback)
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
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Statistical Optimization for Geometric Computation
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