TransCL: Transformer makes strong and flexible compressive learning
Compressive learning (CL) is an emerging framework that integrates signal acquisition via
compressed sensing (CS) and machine learning for inference tasks directly on a small …
compressed sensing (CS) and machine learning for inference tasks directly on a small …
CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems
D Tang, B Chen, Y Huang, B An… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Compressive Learning (CL) has proven to be highly successful in executing joint signal
sampling and inference for intricate vision tasks through resource-limited Internet of Things …
sampling and inference for intricate vision tasks through resource-limited Internet of Things …
Compressive learning in communication systems: a neural network receiver for detecting compressed signals in OFDM systems
Nowadays, the development of efficient communication system is necessary for future
networks. Compressive sensing was proposed as a technique to save storage and energy …
networks. Compressive sensing was proposed as a technique to save storage and energy …
Joint Compressed Signal Recovery and RIS Diagnosis via Double-Sparsity Optimization
Compressive sensing (CS) technology, which handles large amounts of data in its low-
dimensional form, has been shown to enjoy excellent transmission and storage efficiency …
dimensional form, has been shown to enjoy excellent transmission and storage efficiency …
Role of flexible data in evaluation productivity and cost efficiency using data envelopment analysis
In decision management science, recognizing the inputs and outputs of an organization is
very important to evaluate its performance. In particular, it becomes more important when …
very important to evaluate its performance. In particular, it becomes more important when …
Sparse Signal Recovery and RIS Diagnosis: Double-Sparsity Based Algorithms
Compressive sensing (CS) technology, which handles large amounts of data in its low-
dimensional form, enjoys excellent transmission and storage efficiency. To further improve …
dimensional form, enjoys excellent transmission and storage efficiency. To further improve …