{"product_id":"statistical-optimization-for-geometric-computation-theory-and-practice-9780486443089","title":"Statistical Optimization for Geometric Computation: Theory and Practice","description":"This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sensor data that contain noise--a task involving autonomous robots guided by video cameras and sensors.\u003cbr\u003eThe text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and geometry to a detailed statistical theory of geometric patterns, fitting estimates, and model selection. In addition, examples drawn from both synthetic and real data demonstrate the insufficiencies of conventional procedures and the improvements in accuracy that result from the use of optimal methods.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Dover Publications\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/26\/2005\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780486443089\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 509\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.20lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.40h x 5.40w x 1.10d","brand":"Kenichi Kanatani","offers":[{"title":"Default Title","offer_id":36637801382044,"sku":"9780486443089","price":22.91,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_89795b29-4045-4de6-9664-a9c77df3ac07.jpg?v=1603845725","url":"https:\/\/pastforward.org\/products\/statistical-optimization-for-geometric-computation-theory-and-practice-9780486443089","provider":"Past Forward","version":"1.0","type":"link"}