'Data dependent' diaporamas de présentation

Embedded Systems and Software

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Janus Optimizing Memory and Storage Support for Non-Volatile Memory Systems

Janus Optimizing Memory and Storage Support for Non-Volatile Memory Systems. Sihang Liu Korakit Seemakhupt , Gennady Pekhimenko , Aasheesh Kolli , and Samira Khan. SUMMARY. Problem and Motivation The non-volatile memory (NVM) acts as both memory and storage

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CS184a: Computer Architecture (Structure and Organization)

CS184a: Computer Architecture (Structure and Organization). Day 21: March 2, 2005 Time Multiplexing. Previously. Saw how to pipeline architectures specifically interconnect talked about general case Including how to map to them

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Data-dependent Hashing for Similarity Search

Data-dependent Hashing for Similarity Search. Alex Andoni (Columbia University). Nearest Neighbor Search (NNS). Preprocess: a set of points Query: given a query point , report a point with the smallest distance to. Motivation. Generic setup: Points model objects (e.g. images)

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CS184a: Computer Architecture (Structures and Organization)

CS184a: Computer Architecture (Structures and Organization). Day17: November 20, 2000 Time Multiplexing. Last Week. Saw how to pipeline architectures specifically interconnect talked about general case Including how to map to them

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Cancer Classification with Data-dependent Kernels

Cancer Classification with Data-dependent Kernels. Anne Ya Zhang (with Xue-wen Chen & Huilin Xiong) EECS & ITTC University of Kansas. Outline. Introduction Data-dependent Kernel Results Conclusion. Cancer facts. Cancer is a group of many related diseases

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GP GPU Applications and Simulations

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Manifold learning: MDS and Isomap

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Part 4: Data Dependent Query Processing Methods

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The Computational Complexity of Searching for Predictive Hypotheses

The Computational Complexity of Searching for Predictive Hypotheses. Shai Ben-David Computer Science Dept. Technion. Introduction. The complexity of leaning is measured mainly along two axis: Information and computation . Information complexity enjoys a rich theory that yields

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Geometry of Similarity Search

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Rule-based Database Visualization Yingcai Xiao

Rule-based Database Visualization Yingcai Xiao. Introduction Framework and System Design Implementation Case Study Summary and Future Work. Introduction. Information Visualization: data abstract not continuous application dependent hard to find a mapping into (x,y,z,v) Example:

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Image Enhancement by Modifying Gray Scale of Individual Pixels

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SIGMOD 08, June 10 th 2008, Vancouver, Canada

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How to communicate quality and confidence of data?

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Things You Need To Know About A Career In Analytics

A career in analytics is a great way to build your career and invest in your future. As the industry matures, there is more demand for skilled data professionals across domains and a lot of people are considering a shift into analytics. To Know more visit: https://bit.ly/2MnTHlX

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Overview

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Flood hydrology (Wednesday - Ndiritu) Recommendations

Flood hydrology (Wednesday - Ndiritu) Recommendations. We need to undertake to periodically carry out comprehensive flood studies just like the WR studies - WR extreme floods! Every 10 years. This to include the assessment and improvement of flood estimation techniques

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proteomics

Proteomics is a large-scale comprehensive study of a specific proteome, including information on protein abundances, the variations and modifications, as well as their interacting partners and networks. In discovery proteomics, proteome analysis can be performed in two different strategies, bottom-up and top-down approaches, respectively. In the bottom-up approach, a crude protein mixture undergoes protease digestion first, and then separation by liquid chromatography, followed by MS analysis. In the top-down method, proteins are characterized by MS without prior proteolysis. This type approach has the advantage of providing greater sequence coverage, resolution of sequence ambiguities and preservation of PTMs.

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