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- Išsiųsime per 12–18 d.d.
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- Autorius: Kenichi Kanatani
- Leidėjas: Dover Publications
- ISBN-10: 0486443086
- ISBN-13: 9780486443089
- Formatas: 13.7 x 21.3 x 2.8 cm, minkšti viršeliai
- Kalba: Anglų
Statistical Optimization for Geometric Computation (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
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.
- Autorius: Kenichi Kanatani
- Leidėjas: Dover Publications
- ISBN-10: 0486443086
- ISBN-13: 9780486443089
- Formatas: 13.7 x 21.3 x 2.8 cm, minkšti viršeliai
- Kalba: Anglų
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.
Atsiliepimai