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Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Inspired by the recent success of deep neural networks and the recent efforts to develop multi-layer dictionary models, we propose a Deep Analysis dictionary Model (DeepAM) which is optimized to address a specific regression task known as single image super-resolution. Contrary to other multi-layer dictionary models, our architecture contains L layers of analysis dictionary and soft-thresholding operators to gradually extract high-level features and a layer of synthesis dictionary which is designed to optimize the regression task at hand.

Section: Events

Lecture Date: December 14, 2020 (Online lecture) Chapter: Singapore Chapter Chair: Lokesh Bheema Thiagarajan Topic: Privacy-Preserving Localization and Recognition of Human Activities