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Noise in AI
In the context of artificial intelligence (AI), "noise" refers to irrelevant, random, or erroneous data that can interfere with the learning process of AI models, reducing their accuracy and ...
Redefining Secure Development with Application Security Posture Management (ASPM). Unlock the tools and processes that will help developers ship fast and fix fast. Uplevel your Cybersecurity Skills at ...
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Abstract: Obtaining labeled data in the field of industrial anomaly detection is challenging, which necessitates the development of label-free frameworks ... necessitates retraining when new datasets ...
AI can support this by providing critical and relevant information at the point of care – e.g. quantitative values – or by automating a few tasks such as detection or segmentation of an anomaly. This ...
Ou Zhou, Ying Ge, Zhang Dawei, and Zheng Zhonglong. "A Survey of RGB-Depth Object Tracking. RGB-D 目标跟踪综述" Journal of Computer-Aided Design & Computer ...
Recent years have witnessed the increase in applications of artificial intelligence (AI) into the detection of oceanic features. Oceanic eddies, ubiquitous in the global ocean, are important in the ...