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Predicting the Perceived Interest of Object in Images

This book presents an algorithm that uses a "Bayesian probabilistic apprroach" to compute the perceived interest of objects in images. A;

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Visual Object Class Recognition Using Local Descriptions

Huge collections of digital images exist on the web, in large company databases or on our private hard disks. When the images have not been;

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Visual Space Perception

students. A renewed interest in the study of vision has attracted scholars from such diverse fields as neuroscience, computer science, mathematics;

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Video object Tracking

position of the object in images continuously and reliably against dynamic scenes. Difficulties in tracking objects can arise due to abrupt object;

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Evolution, Monitoring and Predicting Models of Rockburst

evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst. This book will be of interest to;

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Fractals and Chaos

. Of historical interest are some early images of this fractal object produced with a crude dot-matrix printer. The text includes some items not;

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Fractals and Chaos

. Of historical interest are some early images of this fractal object produced with a crude dot-matrix printer. The text includes some items not;

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Template Matching Techniques In Computer Vision

The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face;

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Geometric Constraints for Object Detection and Delineation

The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic;

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Socrates, the Original and Its Images

of Socrates is used as the metaphor for the theoretical life, in contrast to the continuous historical interest in that life as an object for;

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Socrates, the Original and Its Images

of Socrates is used as the metaphor for the theoretical life, in contrast to the continuous historical interest in that life as an object for;

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Predicting

Give students the repeated practice they need to master the reading skill of predicting outcomes, and succeed on tests! Each of the 35;

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OOIS'97

The papers published here highlight the contributions of leading researchers in the field who are working with object-oriented technology;

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Global Governance of Oil and Gas Resources in the International Legal Perspective

be central actors in the governance of natural resources, the issue is currently the object of multidimensional global interest. The key to;

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Predicting Turning Points in the Interest Rate Cycle

filter- to managing the uncertainty inherent in the future course of the interest rate cycle. The specific hypothesis is that the sequential;

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Predicting Turning Points in the Interest Rate Cycle (Rle

filter- to managing the uncertainty inherent in the future course of the interest rate cycle. The specific hypothesis is that the sequential;

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The Sacred Image East and West

A new generation of American medieval art historians explores how sacred images were perceived during the Middle Ages in Byzantium and;

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Markov Point Processes And Their Applications

is concerned with the global interpretation of images, attempting to reduce it to a compact description of the salient features of the scene.This book;

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Images as Data for Social Science Research

substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used for object recognition, facial;

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Computer Vision

digital images or videos. It includes the processes of acquiring, processing and understanding of digital images. It also involves the extraction;

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The Found Object Images a Life

In The Found Object Imagines a Life: New and Selected Poems, Mary Catherine Harper collects some of her most personal and poignant poems;

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Forecasting Catastrophic Events in Technology, Nature and Medicine

is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the;

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Two- and Three-Dimensional Patterns of the Face

The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two;

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Two- and Three-Dimensional Patterns of the Face

The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two;

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Machine Learning Methods for Visual Object Detection

This book presents practical methods for detecting common object classes such as people, cars, cows, chairs, etc., in real world images;

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ElectroEncephaloGraphics

My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics;

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Scapegoat

In scapegoating one thing is clear. The individual, group, or object that is deemed the scapegoat had been perceived as the cause of the;

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