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Found 2 papers, 1 papers with code
A multimodal deep learning framework for scalable content based visual media retrieval
We propose a novel, efficient, modular and scalable framework for content based visual media retrieval systems by leveraging the power of Deep Learning which is flexible to work both for images and videos conjointly and we also introduce an efficient comparison and filtering metric for retrieval.
Stacked Generalization for Human Activity Recognition
This short paper aims to discuss the effectiveness and performance of classical machine learning approaches for Human Activity Recognition (HAR).
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