The Expert Versus the Object


Book Description

The authenticity of art has always commanded the attention of experts, dealers, collectors, and the art-minded public-especially those who relish the Robin Hoods of art forgery who deceive rich collectors and pompous experts. This book of essays, edited by a lawyer specializing in art law and authenticity, proposes to make the question of authenticity more easily understood. The main points to be argued are (1) that the perception of form in a work of art is not unlike other types of evidence accepted in courts of law; (2) that in determining authenticity, experts must adopt a careful, organized approach; and (3) that all authentication should be based on the consensus of experts at arm's length from an object.




The Expert Versus the Object


Book Description

The authenticity of art has always commanded the attention of experts, dealers, collectors, and the art-minded public-especially those who relish the Robin Hoods of art forgery who deceive rich collectors and pompous experts. This book of essays, edited by a lawyer specializing in art law and authenticity, proposes to make the question of authenticity more easily understood. The main points to be argued are (1) that the perception of form in a work of art is not unlike other types of evidence accepted in courts of law; (2) that in determining authenticity, experts must adopt a careful, organized approach; and (3) that all authentication should be based on the consensus of experts at arm's length from an object.




Medical Image Recognition, Segmentation and Parsing


Book Description

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: - Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects - Methods and theories for medical image recognition, segmentation and parsing of multiple objects - Efficient and effective machine learning solutions based on big datasets - Selected applications of medical image parsing using proven algorithms - Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects - Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets - Includes algorithms for recognizing and parsing of known anatomies for practical applications




Object Design


Book Description

Object technology pioneer Wirfs-Brock teams with expert McKean to present a thoroughly updated, modern, and proven method for the design of software. The book is packed with practical design techniques that enable the practitioner to get the job done.




Object-oriented Expert Systems and Their Applications to Sedimentary Basin Analysis


Book Description

Applying expert systems and knowledge acquisition techniques to classifying world sedimentary basins and to diagnosing geologic conditions favorable to the occurrence of energy resources in sedimentary basin analyses.







How Humans Recognize Objects: Segmentation, Categorization and Individual Identification


Book Description

Human beings experience a world of objects: bounded entities that occupy space and persist through time. Our actions are directed toward objects, and our language describes objects. We categorize objects into kinds that have different typical properties and behaviors. We regard some kinds of objects – each other, for example – as animate agents capable of independent experience and action, while we regard other kinds of objects as inert. We re-identify objects, immediately and without conscious deliberation, after days or even years of non-observation, and often following changes in the features, locations, or contexts of the objects being re-identified. Comparative, developmental and adult observations using a variety of approaches and methods have yielded a detailed understanding of object detection and recognition by the visual system and an advancing understanding of haptic and auditory information processing. Many fundamental questions, however, remain unanswered. What, for example, physically constitutes an “object”? How do specific, classically-characterizable object boundaries emerge from the physical dynamics described by quantum theory, and can this emergence process be described independently of any assumptions regarding the perceptual capabilities of observers? How are visual motion and feature information combined to create object information? How are the object trajectories that indicate persistence to human observers implemented, and how are these trajectory representations bound to feature representations? How, for example, are point-light walkers recognized as single objects? How are conflicts between trajectory-driven and feature-driven identifications of objects resolved, for example in multiple-object tracking situations? Are there separate “what” and “where” processing streams for haptic and auditory perception? Are there haptic and/or auditory equivalents of the visual object file? Are there equivalents of the visual object token? How are object-identification conflicts between different perceptual systems resolved? Is the common assumption that “persistent object” is a fundamental innate category justified? How does the ability to identify and categorize objects relate to the ability to name and describe them using language? How are features that an individual object had in the past but does not have currently represented? How are categorical constraints on how objects move or act represented, and how do such constraints influence categorization and the re-identification of individuals? How do human beings re-identify objects, including each other, as persistent individuals across changes in location, context and features, even after gaps in observation lasting months or years? How do human capabilities for object categorization and re-identification over time relate to those of other species, and how do human infants develop these capabilities? What can modeling approaches such as cognitive robotics tell us about the answers to these questions? Primary research reports, reviews, and hypothesis and theory papers addressing questions relevant to the understanding of perceptual object segmentation, categorization and individual identification at any scale and from any experimental or modeling perspective are solicited for this Research Topic. Papers that review particular sets of issues from multiple disciplinary perspectives or that advance integrative hypotheses or models that take data from multiple experimental approaches into account are especially encouraged.




Perspectives on Object-Centered Learning in Museums


Book Description

The goal of this book is to cull from the last NSF conference, the "best ideas about how children interact with objects & through that interaction acquire new understandings, attitudes, and feelings."




Family Therapy Beyond Postmodernism


Book Description

Examines postmodernism and its expression in family therapy, raising questions about realities and realness, the subjective process of truth, and the experience of self.




Adaptive and Adaptable Learning


Book Description

This book constitutes the proceedings of the 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, held in Lyon, France, in September 2016. The 26 full papers, 23 short papers, 8 demo papers, and 33 poster papers presented in this volume were carefully reviewed and selected from 148 submissions.