Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Paola Campadelli"'
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 8, Iss 1 (2009)
In the recent years a great deal of research work has been devoted to the development of semi-automatic and automatic techniques for the analysis of abdominal CT images. Some of the current interests are the automatic diagnosis of liver, spleen, and
Externí odkaz:
https://doaj.org/article/a4f58ecbf9c846df9d93423c4b20e72a
Publikováno v:
Face Recognition
Facial feature extraction consists in localizing the most characteristic face components (eyes, nose, mouth, etc.) within images that depict human faces. This step is essential for the initialization of many face processing techniques like face track
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::682574ebd7f7293524af8ad726feb82c
http://www.intechopen.com/articles/show/title/automatic_facial_feature_extraction_for_face_recognition
http://www.intechopen.com/articles/show/title/automatic_facial_feature_extraction_for_face_recognition
Publikováno v:
The Journal of physiologyReferences. 598(5)
Publikováno v:
Theoretical Computer Science. 664:2-11
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
When dealing with datasets comprising high-dimensional points, it is usually advantageous to discover some data structure. A fundamental information needed to this aim is the minimum number of parameters required to describe the data while minimizing
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685595
ICIAP (1)
ICIAP (1)
In the last years, deep neural networks have revolutionized machine learning tasks. However, the design of deep neural network architectures is still based on try-and-error procedures, and they are usually complex models with high computational cost.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ed390d1f64efc207b697f776c6aa9a
https://doi.org/10.1007/978-3-319-68560-1_22
https://doi.org/10.1007/978-3-319-68560-1_22
Autor:
Paola Campadelli, Gabriele Lombardi, Claudio Ceruti, Alessandro Rozza, Simone Bassis, Elena Casiraghi
Publikováno v:
Pattern Recognition. 47:2569-2581
In the past decade the development of automatic intrinsic dimensionality estimators has gained considerable attention due to its relevance in several application fields. However, most of the proposed solutions prove to be not robust on noisy datasets
Publikováno v:
Pattern Recognition. 45:3725-3737
At the present, several applications need to classify high dimensional points belonging to highly unbalanced classes. Unfortunately, when the training set cardinality is small compared to the data dimensionality (''small sample size'' problem) the cl
Publikováno v:
Machine Learning. 89:37-65
Recently, a great deal of research work has been devoted to the development of algorithms to estimate the intrinsic dimensionality (id) of a given dataset, that is the minimum number of parameters needed to represent the data without information loss
Autor:
Raffaella Lanzarotti, Giuseppe Lipori, Federico Cervelli, Stefano Arca, Paola Campadelli, Aldo Mattei
Publikováno v:
Journal of Forensic Sciences. 57:765-771
Face recognition systems aim to recognize the identity of a person depicted in a photograph by comparing it against a gallery ofprerecorded images. Current systems perform quite well in controlled scenarios, but they allow for none or little interact