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Soft Computing Techniques in Engineering Applications (Hardcover, 2014 ed.): Srikanta Patnaik, Baojiang Zhong Soft Computing Techniques in Engineering Applications (Hardcover, 2014 ed.)
Srikanta Patnaik, Baojiang Zhong
R4,282 R3,353 Discovery Miles 33 530 Save R929 (22%) Ships in 12 - 17 working days

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Advanced Image and Video Processing Using MATLAB (Hardcover, 1st ed. 2019): Shengrong Gong, Chunping Liu, Yi Ji, Baojiang... Advanced Image and Video Processing Using MATLAB (Hardcover, 1st ed. 2019)
Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yong-Gang Li, …
R2,112 Discovery Miles 21 120 Ships in 12 - 17 working days

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

Soft Computing Techniques in Engineering Applications (Paperback, Softcover reprint of the original 1st ed. 2014): Srikanta... Soft Computing Techniques in Engineering Applications (Paperback, Softcover reprint of the original 1st ed. 2014)
Srikanta Patnaik, Baojiang Zhong
R3,345 Discovery Miles 33 450 Ships in 10 - 15 working days

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Advanced Image and Video Processing Using MATLAB (Paperback, Softcover reprint of the original 1st ed. 2019): Shengrong Gong,... Advanced Image and Video Processing Using MATLAB (Paperback, Softcover reprint of the original 1st ed. 2019)
Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yong-Gang Li, …
R2,160 Discovery Miles 21 600 Ships in 10 - 15 working days

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

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