"Tactics of Interfacing explores how digital technologies affect the ways we conceive of the "self". The digital sheds a new light on what is so fundamental for sustaining our human sense of the self, the psychological effects of the mechanisms of projection and recognition. Biofeedback, machine vision and remote sensing technologies enhance and augment our ability to understand and reflect on …
"The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools--computer programs capable of automatically translating a text from a source language to a target language. This …
An account of the complex relationship between technology and romanticism that links nineteenth-century monsters, automata, and mesmerism with twenty-first-century technology's magic devices and romantic cyborgs.OCLC-licensed vendor bibliographic record.
A novel algorithmic approach to mechanism design based on a geometric representation of kinematic function called configuration space partitions."This book presents the configuration space method for computer-aided design of mechanisms with changing part contacts. Configuration space is a complete and compact geometric representation of part motions and part interactions that supports the core …
'Mechanical Sound' traces efforts to control unwanted sound - the noise of industry, city traffic, gramophones and radios, and aircraft - from the late 19th to the late 20th century. Karin Bijsterveld argues that a paradox of control has developed, in which only some forms of noise are regulated by experts and governments.OCLC-licensed vendor bibliographic record.
How human pilots and automated systems worked together to achieve the ultimate in flight--the lunar landings of NASA's Apollo program.As Apollo 11's Lunar Module descended toward the moon under automatic control, a program alarm in the guidance computer's software nearly caused a mission abort. Neil Armstrong responded by switching off the automatic mode and taking direct control. He stopped mo…
Collected papers based on talks presented at two Neural Information Processing Systems workshops.State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must sati…
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset o…
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…