Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization (Advances in Computer Vision and Pattern Recognition)
by Mongi A. Abidi, Andrei V. Gribok, Joonki Paik
Explores optimization and regularization approaches for solving ill-posed problems in computer vision and pattern recognition.
About This Book
This book presents optimization techniques for addressing ill-posed problems commonly encountered in computer vision.
It covers regularization methods and their applications within advances in computer vision and pattern recognition.
The text is intended for researchers and practitioners working on vision-related computational challenges.
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