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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics) - Softcover
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.
"synopsis" may belong to another edition of this title.
- PublisherDover Publications Inc.
- Publication date2005
- ISBN 10 0486443086
- ISBN 13 9780486443089
- BindingPaperback
- LanguageEnglish
- Number of pages528
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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
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Statistical Optimization For Geometric Computation : Theory And Practice
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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 (Paperback or Softback)
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Dover Publications 7/26/2005, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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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 (Paperback)
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Dover Publications, New York, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780486443089
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