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The Lyric Myth of Voice
"How did 'voice' become a metaphor for selfhood in the Western imagination? The Lyric Myth of Voice situates the emergence of an ideological connection between voice and subjectivity in late eighteenth-century Italy, where long-standing political anxieties and new notions of cultural enlightenment collided in the mythical figure of the lyric poet-singer. Drawing on a range of approaches and frameworks from historical musicology to gender studies, disability studies, anthropology, and literary theory, Jessica Gabriel Peritz shows how this ancient yet modern myth of voice attained interpretable form, flesh, and sound. Ultimately, Peritz argues that music and literature together shaped the singing voice into a tool for civilizing modern Italian subjects"--
Image Technology
Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.
The Origins of Development Economics
A history of the emergence of development economics as a distinct sub-discipline.
Fourier Vision
Fourier Vision provides a new treatment of figure-ground segmentation in scenes comprising transparent, translucent, or opaque objects. Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the spatial or spectral content of the images, with segmentation being carried out phasor by phasor in the Fourier domain. It works with several camera configurations, such as camera motion and short-baseline binocular stereo, and performs best on images with small velocities/displacements, typically one to ten pixels per frame. The book also addresses the use of Fourier techniques to estimate stereo disparity and optical flow. Numerous examples are provided throughout. Fourier Vision will be of value to researchers in image processing & computer vision and, especially, to those who have to deal with superimposed transparent or translucent objects. Researchers in application areas such as medical imaging and acoustic signal processing will also find this of interest.
The Universal Dictionary of Biography and Mythology
Once considered the largest and most extensive source of biographies in the English language, The Universal Dictionary of Biography and Mythology contains information on nearly every historical figure, notable name, and important subject of mythology from throughout the world prior to the 20th century. Spanning all fields of human effort-from literature and the arts to philosophy and science-and touching on topics from multiple areas of mythological study, including Norse, Greek, and Roman, this extraordinary reference guide continues to be one of the most thorough and accurate collections of biographical data ever created. Combining mythological and biographical entries into a single, compr...
Joseph II: Volume 1, In the Shadow of Maria Theresa, 1741-1780
This volume describes the claustrophobic atmosphere, in which Joseph was trained to rule, and his attempts after 1765 as co-regent with his formidable mother.
Computer Vision--ECCV '92
This volume collects the papers accepted for presentation at the Second European Conference on Computer Vision, held in Santa Margherita Ligure, Italy, May 19-22, 1992. Sixteen long papers, 41 short papers and 48 posters were selected from 308 submissions. The contributions are structured into 14 sections reflecting the major research topics in computer vision currently investigated worldwide. The sections are entitled: features, color, calibration and matching, depth, stereo-motion, tracking, active vision, binocular heads, curved surfaces and objects, reconstruction and shape, recognition, and applications.
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.
