We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The approach extends traditional Markov Random Field (MRF) models by learning potential functions over extended pixel

We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The approach provides a practical method for learning high-order Markov random field (MRF) models with potential functions

� Background: � Global demographic, economic, technological, and military trends forecast an increasingly complex, competitive, and contested future. � Need an Air Force wide, collaboratively derived, near-, medium- and far-term S&T vision that articulates revolutionary capabilities

The use of business plans in South African land redistribution to foster the experts vision of development

... approach to manage the execution of IT-supported business operations from a business expert's view rather than from a technical perspective. However, the degree of mechanization in BPM is still very limited, creating inertia in the necessary evolution and dynamics of business processes

Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible deep artificial neural network architectures can. Small (often minimal) receptive fields of convolutional

The main aim of this study was to determine how gymnasts are aþ ected by the removal of vision when executing simple moves. A secondary aim was to establish whether crucial sensory cues exist for blindfolded gymnasts. Eight expert gymnasts were asked to maintain a straight displacement during three

Two species of crabs are Chionoecetes bairdi and C. opilio and their hybrids live in the Bering Sea. Two species differ in genetic, morphological and morphometric characteristics. Interbreeding of C. bairdi and C. opilio results in a hybrid form with intermediate morphological and morphometric characteristics. These spaces were determined by analyzing the empirical covariance matrices associated with the two species and hybrid and by taking into account the statistical reliability of the estimated principal components. A modified Eigen Image classifier is implemented based on the assumption that the data is drawn from multivariate Gaussian distributions with different means and covariance matrices. The clustering technique is introduced to minimize the misclassification rate of the Eigen Image classifier. 1.

for Wikipedia that is able to answer visual queries and enables experts to contribute and organize visual knowledge. Four distinct groups of humans would interact through Visipedia: users, experts, visual workers and machine vision scientists. The latter would gradually build automata able to interpret images

As part of a larger study regarding an ideal curriculum in five subject matter domains for the elementary school, the views of seven experts in mathematics education were summarized and contrasted. Four experts were nationally and internationally known professors and researchers, and three were