Pradipto Das

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Goals: Practical large scale content analysis Professional Experience: Video to Text Translation without using Expensive Frame-by-frame Manual Annotation: • Innovative formulation of unsupervised probabilistic latent variable models that allow discovery of topics from documents containing real life videos and very short summaries • Extensive experimentations with topic models that translate related words to video frames and also translate a new video to relevant keywords and then to natural language phrases and sentences using language models and parse trees • Provided solutions for scenarios where manual frame-by-frame annotation of real life longer videos are difficult and no

topic modeling machine learning topic models hierarchical classification product taxonomy categorization natural language processing video to text clustering lda

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Pradipto Das

Präsentationen

LDA/TagLDA In Slow Motion

Simultaneous Joint and Conditional Modeling of Documents Tagged from Two Perspectives

Translating Related Words to Videos and Back through Latent Topics

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Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce