4 papers
Universal Rate-Distortion-Classification Representations for Lossy Compression
Nam Nguyen, Thuan Nguyen, Thinh Nguyen +1
In lossy compression, Wang et al. [1] recently introduced the rate-distortion-perception-classification function, which supports multi-task learning by jointly optimizing perceptua…
A Theory of Universal Rate-Distortion-Classification Representations for Lossy Compression
Nam Nguyen, Thinh Nguyen, Bella Bose
In lossy compression, Blau and Michaeli [5] introduced the information rate-distortion-perception (RDP) function, extending traditional rate-distortion theory by incorporating perc…
Universal Representations for Classification-enhanced Lossy Compression
Nam Nguyen
In lossy compression, the classical tradeoff between compression rate and reconstruction distortion has traditionally guided algorithm design. However, Blau and Michaeli [5] introd…
On Symbol Error Probability-based Beamforming in MIMO Gaussian Wiretap Channels
Nam Nguyen, An Vuong, Thuan Nguyen +1
This paper investigates beamforming schemes designed to minimize the symbol error probability (SEP) for an authorized user while guaranteeing that the likelihood of an eavesdropper…