House Atreides (Dune: House Trilogy, Book 1) by Brian Herbert, Kevin J. Anderson

By Brian Herbert, Kevin J. Anderson

The New York Times bestselling prequel to the vintage award-winning saga through Frank Herbert.

Frank Herbert's award-winning Dune chronicles captured the mind's eye of hundreds of thousands of readers around the world. by way of his loss of life in 1986, Herbert had accomplished six novels within the sequence, yet a lot of his imaginative and prescient remained unwritten. Now, operating from his father's lately came across records, Brian Herbert and bestselling novelist Kevin J. Anderson collaborate on a brand new novel, the prelude to Dune—where we step onto the planet Arrakis...decades ahead of Dune's hero, Paul Muad'Dib Atreides, walks its sands.

Here is the wealthy and intricate global that Frank Herbert created, within the time best as much as the momentous occasions of Dune. As Emperor Elrood's son plots a sophisticated regicide, younger Leto Atreides leaves for a year's schooling at the mechanized global of Ix; a planetologist named Pardot Kynes seeks the secrets and techniques of Arrakis; and the eight-year-old slave Duncan Idaho is hunted by way of his merciless masters in a terrifying online game from which he vows get away and vengeance. yet none can envision the destiny in shop for them: one who will lead them to renegades—and shapers of historical past.

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Accordingly, today, many commercial or open source information extraction solutions are available, such as Bolt Baranek and Neuman’s IdentiFinder™ (Cambridge, MA), IBM’s Unstructured Information Management Architecture (UIMA) (New York), Rocket Software’s Aerotext™ (Newton, MA), Inxight’s ThingFinder (Sunnyvale, CA), MetaCarta GeoTagger (Cambridge, MA), SRA’s NetOwl Extractor (Fairfax, VA), and others. 3 AUDIO EXTRACTION Just as information extraction from text remains important, so too there are vast audio sources from radio to broadcast news to audio lectures to meetings that require audio information extraction.

741 on the more difficult one. For the detection task, 50% overlap in bounding boxes was considered a success with multiple detections considered as (one true +) false positive with average precision (AP) as defined by TREC (mean precision interpolated at various recall levels). 195 on the hard test, with significant variance across the classes. 3 for motorbikes. 4. In summary, there was more encouraging performance on cars and motorbikes than people and bicycles. , sliding window, combination with whole-image classifiers, segmentation-based).

The best of six 2D person (including arms and legs) tracking systems in video surveillance achieved 55% accuracy and 63% precision. The best moving vehicle tracker achieved about 70% accuracy and 61% precision. Visual and acoustic far afield person identification in meetings (28 people) were measured on 1-, 5-, 10-, and 20-second test segments on 200 ms annotated visual data. The best visual results achieved 84–96% accuracy on the easiest and hardest tests, an over 10% increase over the previous year.

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