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Beam Codebook Design for 5G mmWave Terminals
A beam codebook of 5G millimeter wave (mmWave) for data communication co...
08/02/2019 ∙ by Jianhua Mo, et al. ∙
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Deep Q learning for fooling neural networks
Deep learning models are vulnerable to external attacks. In this paper, ...
11/13/2018 ∙ by Mandar Kulkarni, et al. ∙
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Siamese networks for generating adversarial examples
Machine learning models are vulnerable to adversarial examples. An adver...
05/03/2018 ∙ by Mandar Kulkarni, et al. ∙
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Knowledge distillation using unlabeled mismatched images
Current approaches for Knowledge Distillation (KD) either directly use t...
03/21/2017 ∙ by Mandar Kulkarni, et al. ∙
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Stamp processing with examplar features
Document digitization is becoming increasingly crucial. In this work, we...
09/16/2016 ∙ by Yash Bhalgat, et al. ∙
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Ashwin: Plug-and-Play System for Machine-Human Image Annotation
We present an end-to-end machine-human image annotation system where eac...
09/08/2016 ∙ by Anand Sriraman, et al. ∙
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