Sentences with phrase «images of these objects for»

Works known to be in the public domain are marked as such, and the Hood Museum of Art strongly encourages students, faculty and other visitors to use museum images of these objects for educational and personal purposes.

Not exact matches

Programmers have, rather, fed the computer a learning algorithm, exposed it to terabytes of data — hundreds of thousands of images or years» worth of speech samples — to train it, and have then allowed the computer to figure out for itself how to recognize the desired objects, words, or sentences.

Its software is capable of identifying the objects in images, producing captions for the visually impaired.

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Newman concedes this dilemma, saying that «we can not make sure, for ourselves and others, of real apprehension and assent, because we have to secure first the images which are their objects, and these are often peculiar and special.»

The long strip of linen cloth known as the Turin Shroud, which bears the faint image of a crucified and beaten man, has been an enigma and an object of reverence for centuries.

The Faith movement's push for such coherence involves affirming, in a neo-Augustinian manner, the dynamic relationship of spiritual mind (whether of the absolute God or of the human soul in his image) with the objects of its knowing, as a metaphysical first principle.

In the 1800s, Norman Macleod, in the midst of his exuberance for the vistas of Banaras, referred to «that ugly looking monster called God», and Sherring wrote of «the worship of uncouth images, of monsters, of the linga and other indecent figures, and of a multitude of grotesque, ill - shapen, and hideous objects.»»

Images and objects can symbolize a personal search for meaning, and in the sanctuaries of museums people may almost genuflect before such art works.

To this useful image Marian Evans contrasts Dr. Cumming's God, who «instead of sharing and aiding our human sympathies is directly in collision with them; who instead of strengthening the bond between man and man, by encouraging the sense that they are both alike the objects of His love and care, thrusts himself between them and forbids them to feel for each other except as they have relation to Him.»

The modern scientific worldview, for all its benefits, is an abstraction because its image of the world is made up only of objects.

For Islam, it is God's insurmountable distance that renders impossible the fabrication of an image worthy of its object; for Judaism, it is God's intimate familiarity.&raqFor Islam, it is God's insurmountable distance that renders impossible the fabrication of an image worthy of its object; for Judaism, it is God's intimate familiarity.&raqfor Judaism, it is God's intimate familiarity.»

A second basis for the sensa myth is the fact that we do use mental images to fill out perceptual objects; e.g., I am aware of the visual profile of an event.

What one can historically describe as the «mechanization of the image of the world» is, at any rate in an environment formed by machines, a process which is also being looked at psychogenetically; this process advances the same object categories and ideas of movement, if only in a rudimentary, pre-reflexive manner, which might, especially for that reason, influence thinking so much more persistently.

They even objected to the establishment of a monarchy that would tempt people to settle for the superficial sacramentalism according to which divine mystery is represented only in the image of monarchical political power.

For the past few years, millions of people have been using location - aware smartphone apps to daub comments, ratings, images and videos on top of places, objects and, to a certain extent, even themselves.

When observing a distant galaxy, for example, massive objects between Earth and the galaxy act like a giant lens and bend the galaxy's light, creating multiple images of the single galaxy.

For each pair of successive images, the algorithm generates multiple hypotheses about which objects in one correspond to which objects in the other.

Nonprofessionals routinely produce stunning images of creatures and objects too tiny for the eye to resolve.

Romani wagon in Germany, 1930s; image courtesy of Wikimedia Commons / Allgemeiner Deutscher Nachrichtendienst - Zentralbild (Bild 183) The Romani people — once known as «gypsies» or Roma — have been objects of both curiosity and persecution for centuries.

Once created, a hologram can be illuminated to create a pattern of light waves that replicates the light reflected by the original object, generating a 3D image without the need for special glasses.

In the early 2000s, when looking for other objects in a nearby galaxy, he and his colleagues captured an image filled with the echoing light of three known supernovas.

The Stanford group isn't alone in developing methods for bouncing lasers around corners to capture images of objects.

This scenario is one of many that researchers at Stanford University are imagining for a system that can produce images of objects hidden from view.

Many will know Newton for his stunning astrophotographs and CCD images of deep - sky objects such as the nebulae and galaxies.

For the first time, astronomers have imaged a cosmic microlens, an object that increases the brightness of distant stars.

Researchers at the University of Guadalajara, in Mexico, in collaboration with the University of the Republic in Uruguay designed a program of digital processing of 3D image from the projection and digitization of binary data that allows three - dimensional reconstruction of various objects in order to reproduce parts of classic automobiles, prehispanic antiques, as well as serving as a tool for face recognition.

[2] This picture comes from the ESO Cosmic Gems programme, an outreach initiative to produce images of interesting, intriguing or visually attractive objects using ESO telescopes, for the purposes of education and public outreach.

The Gauss Prize for research that has had an impact outside mathematics is awarded to Stanley Osher of the University of California at Los Angeles, who has developed techniques for image processing and animation that enable complex objects to be approximated realistically, and for blurred or indefinite objects to be more sharply defined.

Astronomers sift through virtually identical images of the sky, looking for moving objects.

For example, an instrument on one satellite could block the glare of the sun or a distant star, making it possible for a camera on the other to image faint objects such as the sun's ghostly corona or exoplanets orbiting a stFor example, an instrument on one satellite could block the glare of the sun or a distant star, making it possible for a camera on the other to image faint objects such as the sun's ghostly corona or exoplanets orbiting a stfor a camera on the other to image faint objects such as the sun's ghostly corona or exoplanets orbiting a star.

«Compared to deterministic methods, our probabilistic approach achieves high accuracy, especially for complicated image data with a large number of objects, high object density and a high level of noise,» says Dr. Rohr.

For this reason, algorithms are necessary for a computer to calculate a three - dimensional reconstruction of the object from the series of imagFor this reason, algorithms are necessary for a computer to calculate a three - dimensional reconstruction of the object from the series of imagfor a computer to calculate a three - dimensional reconstruction of the object from the series of images.

But a new image of it taken by the National Science Foundation's Karl G. Jansky Very Large Array (VLA) telescope (right), has inspired a new name for the object: the Manatee Nebula.

The sketches of a pair of shoes or piece of furniture, for example, are drawn directly by hand on a touchscreen and recognized using a sophisticated image retrieval system, where the top 10 retrieval accuracy is close to 100 per cent on some object categories so that it always displays the desired product on the first page.

For the computer vision side, researchers train their systems on a massive dataset of images, so they learn to identify objects in images.

Evolution Robotics's solution is to extract only key features of an object, creating a «signature» for it which can then be matched to signatures in a library of reference images.

For the first time, scientists working at the National Institute of Standards and Technology (NIST) have demonstrated a new type of lens that bends and focuses ultraviolet (UV) light in such an unusual way that it can create ghostly, 3D images of objects that float in free space.

Michael Barnett - Cowan at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, and colleagues showed 15 volunteers an image of an object tilted to the right and asked them to judge whether it was about to topple.

To deepen this segmentation and reactivation mechanism of memories, the researchers designed an experiment in order to recreate in a simplified way these «boundary events»; the participants had to observe a sequence of images of the same category — for example, human faces — that was interrupted by an element of a different category — for example, an object.

The results of the study conclude that the elements contained in a single episode — two faces observed within a continuous sequence of faces, for example — were significantly easier to temporarily put in order than those that had been observed in different episodes — two faces shown in a sequence in which there were the images of two objects in the middle.

Neural nets are intrinsically probabilistic: An object - recognition system fed an image of a small dog, for instance, might conclude that the image has a 70 percent probability of representing a dog and a 25 percent probability of representing a cat.

In two new papers, UCLA researchers report that they have developed new uses for deep learning: reconstructing a hologram to form a microscopic image of an object and improving optical microscopy.

The techniques could be used to produce more polished images for graphic - design projects, or, applied in the opposite direction, they could disclose structural defects, camouflaged objects, or movements invisible to the naked eye that could be of scientific interest.

«As we were searching for distant galaxies magnified by Abell 2218, we detected a pair of strikingly similar images whose arrangement and color indicate a very distant object,» explains lead author Jean - Paul Kneib of the California Institute of Technology.

Capturing clear images of objects as tiny as a single virus or a nanoparticle is difficult because the optical signal strength and contrast are very low for objects that are smaller than the wavelength of light.

Hard confirmation of P1 and P2 came just last week, on October 24th, when Marc Buie and Eliot Young found the two objects in several images of an HST dataset they and their collaborators had taken for a Pluto mapping project in 2002.

«Graspable objects grab attention more than images of objects do, study finds: Findings challenge notion that images are appropriate substitute for real objects.»

«These results challenge the long - held notion that images are appropriate proxies for real objects in the study of human brain function,» Snow said.

Because his follow - up Hubble images of Hanny's Voorwerp were so intriguing, Keel started a deliberate hunt for more bizarre objects like it.