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[HTML][HTML] Machine learning for cultural heritage: A survey
Abstract The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved
since basic statistical approaches such as Linear Regression to complex Deep Learning …
since basic statistical approaches such as Linear Regression to complex Deep Learning …
Liver CT sequence segmentation based with improved U-Net and graph cut
Liver segmentation has always been the focus of researchers because it plays an important
role in medical diagnosis. However, under the condition of low contrast between a liver and …
role in medical diagnosis. However, under the condition of low contrast between a liver and …
Digital restoration of cultural heritage with data-driven computing: A survey
Digitized methodologies in the recent era contribute to various fields of automation that used
to hold different interests and meanings of human life. Buildings with historical significance …
to hold different interests and meanings of human life. Buildings with historical significance …
Advancement and research trends of smart learning environments in the mobile era
G Hwang, Q Fu - International Journal of Mobile Learning …, 2020 - inderscienceonline.com
Currently, the rapid development of modern technologies has been influencing and
changing every aspect of our society, in an attempt to make our lives more convenient and …
changing every aspect of our society, in an attempt to make our lives more convenient and …
Artificial intelligence, 3D documentation, and rock art—approaching and reflecting on the automation of identification and classification of rock art images
Rock art carvings, which are best described as petroglyphs, were produced by removing
parts of the rock surface to create a negative relief. This tradition was particularly strong …
parts of the rock surface to create a negative relief. This tradition was particularly strong …
On the limits of 3D capture: A new method to approach the photogrammetric recording of palaeolithic thin incised engravings in Atxurra Cave (northern Spain)
Rock-art recording has been significantly improved in recent years by new technologies.
Nonetheless, accurate documentation of certain engravings is a challenge for these cutting …
Nonetheless, accurate documentation of certain engravings is a challenge for these cutting …
On the use of Machine Learning methods in rock art research with application to automatic painted rock art identification
Rock art is globally recognized as significant, yet the resources allocated to the study and
exploration of this important form of cultural heritage are often scarce. In areas where …
exploration of this important form of cultural heritage are often scarce. In areas where …
[HTML][HTML] Digital Rock Art: beyond'pretty pictures'
The term 'Rock Art'is loosely used in this article to refer to prehistoric carvings and paintings.
Rock art research has changed profoundly in the last two decades. Partly, this is due to the …
Rock art research has changed profoundly in the last two decades. Partly, this is due to the …
Recognizing technique variation in rock engravings: ArchCUT3-D for micromorphological analysis
Ancient rock engravings evoke the interest of archeologists and art historians as an
important remnant of human cultures. Traditionally, engraved images are studied based on …
important remnant of human cultures. Traditionally, engraved images are studied based on …
Unsupervised dual transformer learning for 3-d textured surface segmentation
Analysis of the 3-D texture is indispensable for various tasks, such as retrieval,
segmentation, classification, and inspection of sculptures, knit fabrics, and biological tissues …
segmentation, classification, and inspection of sculptures, knit fabrics, and biological tissues …