A review on generative adversarial networks: Algorithms, theory, and applications
Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …
however, they have been studied since 2014, and a large number of algorithms have been …
Weakly supervised machine learning
Supervised learning aims to build a function or model that seeks as many mappings as
possible between the training data and outputs, where each training data will predict as a …
possible between the training data and outputs, where each training data will predict as a …
Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval
Given a query instance from one modality (eg, image), cross-modal retrieval aims to find
semantically similar instances from another modality (eg, text). To perform cross-modal …
semantically similar instances from another modality (eg, text). To perform cross-modal …
Multi-modal hashing for efficient multimedia retrieval: A survey
L Zhu, C Zheng, W Guan, J Li, Y Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
Deep spectral representation learning from multi-view data
Multi-view representation learning (MvRL) aims to learn a consensus representation from
diverse sources or domains to facilitate downstream tasks such as clustering, retrieval, and …
diverse sources or domains to facilitate downstream tasks such as clustering, retrieval, and …
Obfuscated malware detection using deep generative model based on global/local features
As a large amount of malicious software (malware), including DDoS or Trojan horse pervade
in communication networks, several approaches based on global and local features have …
in communication networks, several approaches based on global and local features have …
Deep adversarial discrete hashing for cross-modal retrieval
Cross-modal hashing has received widespread attentions on cross-modal retrieval task due
to its superior retrieval efficiency and low storage cost. However, most existing cross-modal …
to its superior retrieval efficiency and low storage cost. However, most existing cross-modal …
Relaxed deep generative adversarial networks for real-time economic smart generation dispatch and control of integrated energy systems
L Yin, B Zhang - Applied Energy, 2023 - Elsevier
The randomness of renewable energy connected to power systems cannot satisfy the
frequency stability and economic dispatch of integrated energy systems. The conventional …
frequency stability and economic dispatch of integrated energy systems. The conventional …
Joint and individual matrix factorization hashing for large-scale cross-modal retrieval
Multimodal hashing methods have gained considerable attention in recent years due to their
effectiveness and efficiency for cross-modal similarity searches. Existing multimodal hashing …
effectiveness and efficiency for cross-modal similarity searches. Existing multimodal hashing …