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Younghee Kwon

Younghee Kwon

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    Tenzing A SQL Implementation On The MapReduce Framework
    Biswapesh Chattopadhyay
    Liang Lin
    Weiran Liu
    Sagar Mittal
    Prathyusha Aragonda
    Vera Lychagina
    Michael Wong
    Proceedings of VLDB, VLDB Endowment (2011), pp. 1318-1327
    Preview abstract Tenzing is a query engine built on top of MapReduce for ad hoc analysis of Google data. Tenzing supports a mostly complete SQL implementation (with several extensions) combined with several key characteristics such as heterogeneity, high performance, scalability, reliability, metadata awareness, low latency, support for columnar storage and structured data, and easy extensibility. Tenzing is currently used internally at Google by 1000+ employees and serves 10000+ queries per day over 1.5 petabytes of compressed data. In this paper, we describe the architecture and implementation of Tenzing, and present benchmarks of typical analytical queries. View details
    Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
    Kwang In Kim
    IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 32 (2010), pp. 1127-1133
    Example-Based Learning for Single-Image Super-Resolution
    Kwang In Kim
    Proceedings of Pattern Recognition, 30th DAGM Symposium, Munich, Germany, June 10-13, 2008, pp. 456-465
    Anisotropic Total Variation Method for Text Image Super-Resolution
    Battulga Bayarsaikhan
    Jin Hyung Kim
    Proceedings of the Eighth International Workshop on Document Analysis Systems (DAS), Nara, Japan, September 16-19, 2008, pp. 473-479
    Stroke Verification with Gray-level Image for Hangul Video Text Recognition
    Jinsik Kim
    Seonghun Lee
    Jin Hyung Kim
    Proceedings of 18th International Conference on Pattern Recognition (ICPR), Hong Kong, China, August 20-24, 2006, pp. 1074-1077
    An Example-based Prior Model for Text Image Super-resolution
    Jangkyun Park
    Jin Hyung Kim
    Proceedings of the eighth International Conference on Document Analysis and Recognition (ICDAR), Daejeon, South Korea, August 29 - September 1, 2005, pp. 374-378
    Semi-supervised Kernel Regression Using Whitened Function Classes
    Matthias O. Franz
    Carl Edward Rasmussen
    Bernhard Schoelkopf
    Proceedings of Pattern Recognition, 26th DAGM Symposium, Tuebingen, Germany, August 30 - September 1, 2004, pp. 18-26