4,384 research outputs found
Adrian Caesar speaking at Alex Miller author: A Celebration, held at the National Library, Canberra, 30 October 2011 /
No full textTitle from information supplied by photographer.; Part of the collection: Alex Miller author: A Celebration, held at the National Library of Australia theatre, 30 October 2011.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
[Letter from Alex Bradford to Lieutenant and Mrs. Ray Starner - November 4, 1940]
No full textLetter from Alex Bradford to Lieutenant and Mrs. Ray Starner describing the the current state of affairs that the author was experiencing, including: the London blitz, the moral of the troops on the ground, and the collective company of men opposing the Nazi regime
Alex Haley, author
No full textExamines the life and achievements of Alex Haley, celebrated author of "Roots" and other writings, discussing his life and literary career, as well as his obsession with researching his family's history
Description by author Alex Irvine of his recent participation in the San Diego C
No full textDescription by author Alex Irvine of his recent participation in the San Diego Comic-Con, one of the largest conferences of comic/media/book producers and consumers. Irvine was there to promote his new fiction book, One King, One Soldier, published by Del Rey
A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields
No full textA parallel algorithm operating on the units (“neurons”) of an artificial retina is proposed to recover depth information in a visual scene from radial flow fields induced by ego motion along a given axis. The system consists of up to 600 radii with fewer than 65 radially arranged neurons on each radius. Neurons are connected only to their nearest neighbors, and they are excited as soon as a sufficiently strong gray-level change occurs. The time difference of two subsequently activated neurons is then used by the last-excited neuron to compute the depth information. All algorithmic calculations remain strictly local, and information is exchanged only between adjacent active neurons (except for the final read-out). This, in principle, permits parallel implementation. Furthermore, it is demonstrated that the calculation of the object coordinates requires only a single multiplication with a constant, which is dependent on only the retinal position of the active neuron. The initial restriction to local operations makes the algorithm very noise sensitive. In order to solve this problem, a prediction mechanism is introduced. After an object coordinate has been determined, the active neuron computes the time when the next neuronal excitation should take place. This estimated time is transferred to the respective next neuron, which will wait for this excitation only within a certain time window. If the excitation fails to arrive within this window, the previously computed object coordinate is regarded as noisy and discarded. We will show that this predictive mechanism relies also on only a (second) single multiplication with another neuron-dependent constant. Thus, computational complexity remains low, and noisy depth coordinates are efficiently eliminated. Thus, the algorithm is very fast and operates in real time on 128×128 images even in a serial implementation on a relatively slow computer. The algorithm is tested on scenes of growing complexity, and a detailed error analysis is provided showing that the depth error remains very low in most cases. A comparison to standard flow-field analysis shows that our algorithm outperforms the older method by far. The analysis of the algorithm also shows that it is generally applicable despite its restrictions, because it is fast and accurate enough such that a complete depth percept can be composed from radial flow field segments. Finally, we suggest how to generalize the algorithm, waiving the restriction of radial flow
Recovery through contradiction?
No full textWith this new drug strategy, the circle has turned. It was a Conservative government
that introduced the first drug strategy, Tackling Drugs Together, in 1995. This aimed
to reduce drug related crime, protect young people and reduce health harms by
discouraging drug use. It was criticised at the time for having unrealistic, intangible
aims and for not providing the necessary funding. New Labour’s strategies introduced
increasingly specific targets and massively expanded the funding of treatment. This
new Coalition strategy has no targets and provides no new funding
Alex Miller signing books at the National Library of Australia, Canberra, 30 October 2011 /
No full textTitle from information supplied by photographer.; Part of the collection: Alex Miller author: A Celebration, held at the National Library of Australia theatre, 30 October 2011.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
Alex Miller taking questions at the National Library of Australia, Canberra, 30 October 2011 /
No full textTitle from information supplied by photographer.; Part of the collection: Alex Miller author: A Celebration, held at the National Library of Australia theatre, 30 October 2011.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
Alex Miller and Genevieve Jacobs at the National Library of Australia, Canberra, 30 October 2011 /
No full textTitle from information supplied by photographer.; Part of the collection: Alex Miller author: A Celebration, held at the National Library of Australia theatre, 30 October 2011.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
Alex Miller at the National Library of Australia theatre, 30 October 2011, 1 /
No full textTitle from information supplied by photographer.; Part of the collection: Alex Miller author: A Celebration, held at the National Library of Australia theatre, 30 October 2011.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
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