Mohlo by se vám také líbit

Více informací o knize Symbolic Visual Learning

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 641 bodů

Anotace knihy

Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Symbolic Visual Learning
• Autor: Katsushi Ikeuchi, Manuela Velosa, Manuela Veloso
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 364
• EAN: 9780195098709
• ISBN: 0195098706
• ID: 04863905
• Nakladatelství: Oxford University Press Inc
• Hmotnost: 825 g
• Rozměry: 263 × 185 × 22 mm
• Datum vydání: 29. May 1997

Oblíbené z jiného soudku

---

---

---