Cross-Domain Recognition Strategies in Multimedia, Networking, and Geospatial Analysis

This review investigates shared recognition mechanisms across domains including recommender systems, mapping, network traffic analysis, multimedia retrieval, image processing, and remote sensing. Evidence from published studies shows recurrent use of unsupervised data enhancement, weakly supervised label refinement, and contrastive learning to address scarcity of annotated data. Neural architectures such as CNN-LSTM hybrids, attentionbased models, and memory-augmented networks appear across tasks involving temporal sequences and multimodal alignment. Domain-specific priors and constraints are integrated to improve recognition accuracy, including geometric normal vector consistency in simultaneous localization and mapping, analysis sparse priors in image super-resolution, and physics-based design in spectrum analysis. Active sensing approaches, exemplified by low-cost hyperspectral imaging under low-light conditions, further demonstrate system-level strategies for enhancing data quality. The survey consolidates these crossdomain practices, highlighting methodological convergence and providing an interdisciplinary synthesis of recognition research grounded in empirical evidence. Supplementary Material File (cross_domain_recognition_strategies_in_multimedia__networking__and_geospatial_analysis.pdf) - Download - 1.40 MB Information & Authors Information Version history Copyright This work is licensed under a Creative Commons Attribution 4.0 International License

Authors Metrics & Citations Metrics Article Usage 166views 125downloads Citations Download citation Jackson Duane, Alicia Ren, Wei Zhang. Cross-Domain Recognition Strategies in Multimedia, Networking, and Geospatial Analysis. Authorea. 10 November 2025. DOI: https://doi.org/10.22541/au.176281204.43296390/v1 DOI: https://doi.org/10.22541/au.176281204.43296390/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.