suau pablo (10 Ergebnisse)

Zustand: New. pp. 412 126 Illus.

Zustand: New. Idioma/Language: Español. La infografía en tres dimensiones recibe cada vez mayor atención gracias al mundo del cine de animación y al de los videojuegos. El software de libre distribución Blender ha incrementado su popularidad durante los últimos años, en parte debido a su coste gratuito y también a sus resultados profesionales, que empiezan a ser apreciados por los profesionales de la industria. Este libro sirve como manual de introducción a la herramienta, permitiendo adquirir al lector las habilidades básicas de modelado y animación 3D que le ayudarán a iniciarse en esta disciplina. Pablo Suau es profesor colaborador en la Universidad de Alicante, impartiendo docencia en las titulaciones de Informática y la especialidad de Sonido e Imagen de Telecomunicaciones. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Rústica. Zustand: Nuevo.

Paperback. Zustand: Brand New. Spanish language. 9.37x6.38x0.55 inches. In Stock.

Zustand: New.

Zustand: Nuevo. La campanya excepcional editado por Documenta universitaria.

Hardcover. Zustand: Brand New. 1st edition. 394 pages. 9.75x6.25x1.00 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.