wyszukanych pozycji: 11
Pattern Recognition and Computer Vision: Second Chinese Conference, Prcv 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part I
ISBN: 9783030316532 / Angielski / Miękka / 2019 / 629 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
195,42 zł |
Pattern Recognition and Computer Vision: Second Chinese Conference, Prcv 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part III
ISBN: 9783030317256 / Angielski / Miękka / 2019 / 545 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
195,42 zł |
Pattern Recognition and Computer Vision: Second Chinese Conference, Prcv 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part II
ISBN: 9783030317225 / Angielski / Miękka / 2019 / 813 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
195,42 zł |
Accelerated Optimization for Machine Learning: First-Order Algorithms
ISBN: 9789811529092 / Angielski / Twarda / 2020 / 275 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
586,33 zł |
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications
ISBN: 9780128127315 / Angielski / Miękka / 2017 / 260 str. Termin realizacji zamówienia: ok. 18-20 dni roboczych. Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve... Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their applic... |
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cena:
456,21 zł |
Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII
ISBN: 9789819784929 / Angielski Termin realizacji zamówienia: ok. 10-14 dni roboczych. |
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cena:
423,64 zł |
Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX
ISBN: 9789819786916 / Angielski Termin realizacji zamówienia: ok. 10-14 dni roboczych. |
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cena:
423,64 zł |
Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III
ISBN: 9789819785018 / Angielski Termin realizacji zamówienia: ok. 10-14 dni roboczych. |
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cena:
382,31 zł |
Alternating Direction Method of Multipliers for Machine Learning
ISBN: 9789811698392 / Angielski / Twarda / 2022 Termin realizacji zamówienia: ok. 20 dni roboczych. Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.... Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimizati... |
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cena:
547,24 zł |
Accelerated Optimization for Machine Learning: First-Order Algorithms
ISBN: 9789811529122 / Angielski / Miękka / 2021 / 275 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
586,33 zł |
Alternating Direction Method of Multipliers for Machine Learning
ISBN: 9789811698422 / Angielski / Miękka / 2023 Termin realizacji zamówienia: ok. 20 dni roboczych. Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.... Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimizati... |
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cena:
547,24 zł |