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Your search keyword '"Sorci, M"' showing total 5 results
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5 results on '"Sorci, M"'

1. Fisher's discriminant and Relevant Component Analysis for static facial expression classification

Author

Sorci, M., Antonini, G., and Jean-Philippe Thiran

Subjects
ComputingMethodologies_PATTERNRECOGNITION, LTS5, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Facial expression recognition, Dimensionality reduction
Abstract

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) representing the input for the classification step. We show how Relevant Component Analysis (RCA) in combination with Fisher's Linear Discriminant (FLD) provides a good "plug-\&-play" classifier in the context of facial expression recognition framework. We test this method against several other classification techniques, including LDA, GDA and SVM, on the Cohn-Kanade database.

2. Relevant Component Analysis for static facial expression classification

Author

Sorci, M., Antonini, G., and Thiran, J.

Subjects
relevant component analysis, LTS5, Facial expression classification
Abstract

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) representing the input for the classifi- cation step. We introduce Relevant Component Analysis (RCA) in the context of facial expression recognition framework and we test this method against several other classi- fication techniques, including LDA, GDA and SVM, on the Cohn-Kanade database.

3. Combining SVMs for face class modeling

Author

Meynet, J., Popovici, V., Sorci, M., and Jean-Philippe Thiran

Subjects
face multiple svm, LTS5
Abstract

We present a method for combining a number of Support Vector Machines trained independently in the eigenface space and we apply it to face class modeling. We first train several

5. The clinical spectrum of COVID-19-associated cutaneous manifestations: An Italian multicenter study of 200 adult patients

Author

Angelo V. Marzano, Claudio Guarneri, Pamela Vezzoli, Vincenzo Maione, Pietro Quaglino, Cosimo Misciali, Valeria Gaspari, Carlo Tomasini, Concetta Potenza, Ketty Peris, Giovanni Casazza, Giovanni Genovese, Emilio Berti, Paolo Sena, Marzia Caproni, Miriam Rovesti, Renato Arco, Gabriella Fabbrocini, Mariarita Sorci, Piergiacomo Calzavara-Pinton, Chiara Moltrasio, Paolo Gisondi, Annamaria Offidani, Giorgio Bordin, Andrea Conti, Annalisa Patrizi, Sebastiano Recalcati, Maurizio Lombardo, Marzano, A. V., Genovese, G., Moltrasio, C., Gaspari, V., Vezzoli, P., Maione, V., Misciali, C., Sena, P., Patrizi, A., Offidani, A., Quaglino, P., Arco, R., Caproni, M., Rovesti, M., Bordin, G., Recalcati, S., Potenza, C., Guarneri, C., Fabbrocini, G., Tomasini, C., Sorci, M., Lombardo, M., Gisondi, P., Conti, A., Casazza, G., Peris, K., Calzavara-Pinton, P., and Berti, E.

Subjects
Adult, Male, medicine.medical_specialty, coronavirus, COVID-19, infection, SARS-CoV-2, skin manifestations, Age of Onset, Aged, Chilblains, Humans, Italy, Middle Aged, Severity of Illness Index, Skin Diseases, Viral, Dermatology, Asymptomatic, Skin Diseases, Article, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Severity of illness, medicine, Maculopapular rash, Viral, Livedo reticularis, business.industry, medicine.disease, Morbilliform, coronaviru, 030220 oncology & carcinogenesis, medicine.symptom, Age of onset, business, Settore MED/35 - MALATTIE CUTANEE E VENEREE
Abstract

Background COVID-19 is associated with a wide range of skin manifestations. Objective To describe the clinical characteristics of COVID-19-associated skin manifestations, and explore the relationships between the six main cutaneous phenotypes and systemic findings. Methods Twenty-one Italian Dermatology Units were asked to collect the demographic, clinical and histopathological data of 200 patients with COVID-19-associated skin manifestations. The severity of COVID-19 was classified as asymptomatic, mild, moderate, or severe. Results A chilblain-like acral pattern significantly associated with a younger age (p, There are six main COVID-19-related cutaneous phenotypes, but only the chilblain-like acral pattern significantly associated with younger age. After adjusting for patient age, there was no spectrum of COVID-19 severity in relation to cutaneous phenotypes, although the longer-lasting chilblain-like acral pattern significantly associated with milder disease.

Published
2020

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