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Automated Fault Localization Using Potential Invariants 1
TLDR
We present a general method for fault localization based on abstracting over program traces, and a tool that implements the method using Ernst’s notion of potential invariants. Expand
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Automated Fault Localization Using Potential Invariants
TLDR
We present a general method for fault localization based on abstracting over program traces, and a tool that implements the method using Ernst’s notion of potential invariants. Expand
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  • 6
  • PDF
Joint visual-text modeling for automatic retrieval of multimedia documents
TLDR
We propose a novel approach for jointly modeling the text and the visual components of multimedia documents for the purpose of information retrieval(IR). Expand
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TRECVID 2005 Experiment at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval
TLDR
The use of hidden Markov models (HMMs) for the high-level feature detection task of TRECVID 2005 is described. Expand
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Machine Translation for Languages Lacking Bitext via Multilingual Gloss Transduction
TLDR
We propose and evaluate a new paradigm for machine translation of low resource languages via the learned surface transduction and paraphrase of multilingual glosses. Expand
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Joint Visual-Text Modeling for Multimedia Retrieval
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Automatic Debugging Using Potential Invariants
TLDR
Shriram Krishnamurthi, Reader iii Acknowledgements I would like to thank Manos Renieris for his guidance on this project. Expand