SRC Grand Finalists 2007
Danny Dig - University of Illinois at Urbana-Champaign
Title of Submission: Toward Automatic Upgrade of Component-Based Applications
Yalling Yang - University of Illinois at Urbana-Champaign
Title of Submission: Interference-aware Loop-free Routing For Mesh Networks
David S. Janzen - University of Kansas
Title of Submission: Software Architecture Improvement through Test-Driven Development
Yuki Mori - University of Tokyo
Title of Submission: Automatic Cross-Sectioning Using 3D Field Topology Analysis
Scott Hale - Eckerd College
Title of Submission: Unsupervised Thresholding and Morphological Processing for Automatic Fin-outline Extraction in DARWIN (Digital Analysis and Recognition of Whale Images on a Network)
Jeffrey Adair - Hiram College
Title of Submission: Locating, Tracking, and Interpreting Ean-13 Bar Code Waveforms in a Two-Dimensional Video Stream
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ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.
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