James Keller - Böcker

Oxford's highly successful listener's guides--The Symphony, The Concerto, and Choral Masterworks--have been widely praised for their blend of captivating biography, crystal clear musical analysis, and delightful humor. Now James Keller follows these greatly admired volumes with Chamber Music. Approaching the tradition of chamber music with knowledge and passion, Keller here serves as the often-opinionated but always genial guide to 192 essential works by 56 composers, providing illuminating essays on what makes each piece distinctive and admirable. Keller spans the history of this intimate genre of music, from key works of the Baroque through the emotionally stirring "golden age" of the Classical and Romantic composers, to modern masterpieces rich in political, psychological, and sometimes comical overtones. For each piece, from Bach through to contemporary figures like George Crumb and Steve Reich, the author includes an astute musical analysis that casual music lovers can easily appreciate yet that more experienced listeners will find enriching. Keller shares the colorful, often surprising stories behind the compositions while revealing the delights of an art form once described by Goethe as the musical equivalent of "thoughtful people conversing."

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

This volume explores the importance of scholarly and literary communities, the challenges of translation and difference, and the search for the ineffable in art. It is a collection of interviews, translations, scholarly essays, and tributes in honor of Burton Pike (1930–2022), a renowned translator of Robert Musil, Rilke, Goethe, Gerhard Meier, and others, as well as a scholar of literary Modernism and the image of the city. He was also an extraordinary teacher, mentor, and inspiration to a generation. The pieces are mostly written by former students, colleagues, and admiring friends, but the book also includes two interviews with Pike, along with Pike’s own previously unpublished lecture on Thomas Mann’s last novel, Confessions of Felix Krull, Confidence Man.