41 天前 - … scalable De Bruijn graph-based (DBG) indexing for searching these data, using
annotations to … strategy called ‘multi-label alignment’ (MLA) designed for annotated DBGs. The …

63 天前 - … image data for training is challenging and not scalable. In this paper, we propose a
new … large-scale annotated image datasets, we propose a new zero-shot multi-label image …

77 天前 - … Finally, the dataset was annotated by a single human annotator. This may be …
dataset by scaling up the number of annotators and introducing a multi-label annotation. Second, …

84 天前 - … cloud to edge computing, which can address issues related to latency and scalability.
… million images annotated across 18 defect categories. This extensive multi-label dataset …

163 天前 - … By utilizing the multi-label annotations as inputs, our proposed Semantic-…
scalable approach, we propose the asymmetric margin scalable loss to obtain accurate multi-label …

232 天前 - … analysis reports, and tactics category labels are annotated to build … efficiency and
lack of scalability in the sequential deep … software for annotation, we create a multi-label tactics …

249 天前 - … -annotated datasets: an instruction dataset covering traditional Norwegian cultures,
idioms, slang, and special expressions, and a document-grounded multi-label … scalability of …

251 天前 - … due to the expensive human annotations. However, these … multi-label learning
with missing labels, and develop a novel maximum margin-based online algorithm with scalable …

274 天前 - … datasets, especially regarding potential multi-label annotation errors. In this paper,
we introduce a lightweight, user-friendly, and scalable framework that synergizes human …

292 天前 - … ; natural language processing (NLP) and databases; data analysis and optimization;
anomaly and threat detection; streaming data; miscellaneous; explainability and scalability …