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41 to 47 of 47 Results
Point1933.790.B.39_LR.pts
Jun 16, 2023 - Nubian points of Nazlet Khater
Unknown - 3.3 KB - MD5: db2e20d41dddc12dfcac0d8f6d23483a
Point1933.790.B.43_LR.ply
Jun 16, 2023 - Nubian points of Nazlet Khater
Unknown - 8.5 MB - MD5: f808a9d5eaf400e90672cc7d266bcf66
Point1933.790.B.43_LR.pts
Jun 16, 2023 - Nubian points of Nazlet Khater
Unknown - 3.3 KB - MD5: 82327987cf7c0b941588d6ae86e97a31
Point1933.790.B.49_LR.ply
Jun 16, 2023 - Nubian points of Nazlet Khater
Unknown - 8.7 MB - MD5: e09df62a338801391267b54c5626d0c2
Point1933.790.B.49_LR.pts
Jun 16, 2023 - Nubian points of Nazlet Khater
Unknown - 3.3 KB - MD5: eec7652a9d7747c46913ec55390b6f40
deco_2016_2017_ENG.csv
Jun 16, 2023 - Consumers financial health
Comma Separated Values - 615.9 KB - MD5: 413e6261f8e32ee7b2401d38d1397f02
XXX Description to be given after
UBIRIS.v1
May 24, 2023 - Hugo Pedro Proença Dataverse
Proença, Hugo Pedro, 2023, "UBIRIS.v1", https://doi.org/10.57979/OSM3H8, Repositório Polen, V1
UBIRIS.v1 database is composed of 1877 images collected from 241 persons during September, 2004 in two distinct sessions. Its most relevant characteristic is to incorporate images with several noise factors, simulating less constrained image acquisition environments. This enables...
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