A new approach for optimal offline time-series segmentation with error bound guarantee

ANGEL CARMONA POYATONICOLAS LUIS FERNANDEZ GARCIAFRANCISCO JOSE MADRID CUEVAS2026-01-292026-01-29202110.1016/j.patcog.2021.1079172-s2.0-85101905482https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/33043Artificial IntelligenceComputer Vision and Pattern RecognitionSignal ProcessingSoftwareA new approach for optimal offline time-series segmentation with error bound guaranteeresearch article