The 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP) focuses on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference features world-class plenary speeches, distinguished symposium talks, tutorials, exhibits, oral and poster sessions, and panels. GlobalSIP is comprised of co-located General Symposium and symposia selected based on responses to the call-for-symposia proposals.
- Read more about Classification of Severely Occluded Image Sequences via Convolutional Recurrent Neural Networks
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- Read more about Defending DNN Adversarial Attacks with Pruning and Logits Augmentation
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Deep neural networks (DNNs) have been shown to be powerful models and perform extremely well on many complicated artificial intelligent tasks. However, recent research found that these powerful models are vulnerable to adversarial attacks, i.e., intentionally added imperceptible perturbations to DNN inputs can easily mislead the DNNs with extremely high confidence.
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- Read more about Defending DNN Adversarial Attacks with Pruning and Logits Augmentation
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Deep neural networks (DNNs) have been shown to be powerful models and perform extremely well on many complicated artificial intelligent tasks. However, recent research found that these powerful models are vulnerable to adversarial attacks, i.e., intentionally added imperceptible perturbations to DNN inputs can easily mislead the DNNs with extremely high confidence.
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- Read more about Sparse tensor recovery via N-mode FISTA with support augmentation
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- Read more about Sparse tensor recovery via N-mode FISTA with support augmentation
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- Read more about Siamese Network with Multi-level Features for Patch-based Change Detection in Satellite Imagery
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- Read more about Learning to dynamically price electricity demand based on multi-armed bandit
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- Read more about Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
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- Read more about A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks
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