1. Theory behind Image Compression and Semantic Search

    Theory behind Image Compression and Semantic Search

    Show related SlideShares at end WordPress Shortcode Theory behind Image Compression and Semantic Search 93 views Published on Jun 27, 2017 Singular Value Decomposition (SVD) is a matrix decomposition technique developed during the 18th century and has been in use ever since. SVD has applications in several areas including image processing, natural language processing (NLP), genomics, and data compression.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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