21 |
Exploiting Contextual Information for Prosodic Event Detection Using Auto-Context
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In: Electrical and Computer Engineering Faculty Research and Publications (2013)
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22 |
Automated authorship attribution using advanced signal classification techniques
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23 |
Scene perception using pareidolia of faces and expressions of emotion
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24 |
Exploration of Acoustic Features for Automatic Vowel Discrimination in Spontaneous Speech
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339695879 (2012)
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25 |
Adding a Capability to Extract Sentiment from Text Using HanDles
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In: DTIC (2012)
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27 |
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
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28 |
Identification Of Printed Punjabi Words And English Numerals Using Gabor Features ...
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29 |
Identification Of Printed Punjabi Words And English Numerals Using Gabor Features ...
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30 |
Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
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In: DTIC (2011)
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31 |
Learning Structured Classifiers with Dual Coordinate Ascent
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In: DTIC (2010)
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32 |
Verification of the four Spanish official languages on TV show recordings ; Verificación de las cuatro lenguas oficiales españolas en grabaciones de programas de televisión
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33 |
Supervised Learning Approaches for Rating Customer Reviews
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In: http://web2py.iiit.ac.in/research_centres/publications/download/article.pdf.9cf20d4de9a9a629.4a49532e706466.pdf (2009)
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34 |
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ...
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35 |
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ...
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36 |
Blog Fingerprinting: Identifying Anonymous Posts Written by an Author of Interest Using Word and Character Frequency Analysis
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In: DTIC (2009)
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38 |
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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39 |
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
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40 |
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets
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