Computational Learning for Adaptive Computer Vision 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Bhanu, Bir/ Das, Subhodev 作者

Springer Verlag

译者

2009-10 出版日期

515 页数

$ 56.44 价格

HRD

丛书系列

9780387237039 图书编码

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Computational Learning for Adaptive Computer Vision 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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The goal of computer vision (CV) research is to provide computers with human-like perception capabilities so that they can sense the environment, understand the sensed data, take appropriate actions, and learn from this experience in order to enhance future performance. The field has evolved from the application of classical pattern recognition and image processing methods to advanced techniques in image understanding, like model-based and knowledge-based vision. In recent years, there has been an increased demand for computer vision systems to address "real-world" applications, such as navigation, target recognition, manufacturing, photointerpretation, remote sensing, etc. This unique monograph details the way machine learning, a field concerned with the temporal improvement of computer algorithms and systems, can help create robust, flexible vision techniques for optimal functioning in real-world scenarios. Enriched by many concrete examples and illustrations, it is an indispensable reference for industry engineers and academics working in machine vision and AI.

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