Class-Aware Sounding Objects Localization via Audiovisual Correspondence
Audiovisual scenes are pervasive in our daily life. It is commonplace for humans to discriminatively localize different sounding objects but quite challenging for machines to achieve class-aware so…
GRIM : A General, Real-Time Deep Learning Inference Framework for Mobile Devi…
It is appealing but challenging to achieve real-time deep neural network (DNN) inference on mobile devices, because even the powerful modern mobile devices are considered as “resource-constrained…
Real-Time FPGA Investigation of Potential FEC Schemes for 800G-ZR/ZR+ Forward…
Forward error correction (FEC) performance down to 1e-15 bit error rate (BER) of a open FEC code (OFEC), which was recently proposed for the 800G inter-data center interconnect (DCI) standard, is v…
Nonconcave Utility Maximization with Portfolio Bounds
The problems of nonconcave utility maximization appear in many areas of finance and economics, such as in behavioral economics, incentive schemes, aspiration utility, and goal-reaching problems. Ex…
Long-Range High-Spatial-Resolution Distributed Measurement by a Wideband Bril…
Stimulated Brillouin scattering (SBS)-based distributed fiber optic sensing technique has found pervasive applications in measurement of real-world environmental variables. Its sensing capability, …
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Mul…
Supply chain management (SCM) is a significant and complex system in a smart city that requires advanced artificial intelligence (AI) and optimization techniques. The multiobjective supply chain co…
Head Pose Estimation Based on Multivariate Label Distribution
Accurate ground-truth pose is essential to the training of most existing head pose estimation methods. However, in many cases, the “ground truth” pose is obtained in rather subjective ways, suc…
Real-Time FPGA Investigation of Interplay Between Probabilistic Shaping and F…
In this work, we implement a complete probabilistic amplitude shaping (PAS) architecture on a field-programmable gate array (FPGA) platform to study the interplay between probabilistic shaping (PS)…
Searching for Robustness Intervals in Evolutionary Robust Optimization
In many real-world optimization applications, a goal solution (i.e., scenario) is often provided by a user according to his/her experience. Due to the presence of a wide range of uncertainties, one…
Evolutionary Deep Fusion Method and its Application in Chemical Structure Rec…
Feature extraction is a critical issue in many machine learning systems. A number of basic fusion operators have been proposed and studied. This article proposes an evolutionary algorithm, called e…
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