Results 71 to 80 of about 3,697,351 (295)

Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches

IEEE Access
The classification of gender from handwriting is a challenging issue that have great attention recently. Most of the exiting works were conducted on gender classification using face image and offline handwritten texts.
Jungpil Shin, Yuta Uchida, Md. Maniruzzaman, Koki Hirooka, Akiko Megumi, Akira Yasumura   +5 more
doaj   +1 more source

The Role of Face Parts in Gender Recognition [PDF]

, 2008
This paper evaluates the discriminant capabilities of face parts in gender recognition. Given the image of a face, a number of subimages containing the eyes, nose, mouth, chin, right eye, internal face (eyes, nose, mouth, chin), external face (hair, ears, contour) and the full face are extracted and represented as appearance-based data vectors.
Yasmina Andreu, Ramón Alberto Mollineda
openaire   +3 more sources

Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen, Ya‐Ting Chang, Levinia Lim, Pai‐Yi Chiu, Jung‐Lung Hsu, SangYun Kim, Wataru Narita, Na Young Ryoo, Kyoko Suzuki, Nagaendran Kandiah, Sebastian Crutch, Ming‐Chyi Pai   +11 more
wiley   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza, Arun Meyyazhagan, Eliseo Picchi, Gustavo Ribas, Ingrid Faber, Ryosuke Miyamoto, Preethi Basavaraju, Paolo Eusebi, Haripriya Kuchi Bhotla, Mario Stasi, Fabrizio Gaudiello, Francesco Patti, Filippo Maria Santorelli, Marcondes Cavalcante França Jr, José Luiz Pedroso, Orlando Graziani Povoas Barsottini, Hélio Afonso Ghizoni Teive, Peter Henry St George‐Hyslop, Toshitaka Kawarai, Antonio Orlacchio   +19 more
wiley   +1 more source

High‐Resolution MRI Revealed Different Etiology‐Specific Associations With Cerebral Infarction in Adult Moyamoya Vasculopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han, Jiachun Pan, Yuehui Hong, Xiaoyuan Fan, Ming Yao, Lixin Zhou, Yicheng Zhu, Feng Feng, Jun Ni   +8 more
wiley   +1 more source

CGIAR GENDER Impact Platform Newsletter, April-May 2022, issue 1

, 2023
In this issue, we share with you latest news from the CGIAR GENDER Impact Platform as well as updates on gender research from across CGIAR's research portfolio.
CGIAR GENDER Impact Platform
core   +1 more source

Longitudinal Assessment of Biomarkers in ALS: Discriminative Biomarkers for Disease Progression and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers, Yueh‐Yun Lin, Jason R. Thonhoff, Aaron D. Thome, Alireza Faridar, Weihua Zhao, Shixiang Wen, Stanley H. Appel   +7 more
wiley   +1 more source

FM-GCN: Spatio-Temporal Graph Neural Network for Gender Recognition Using Facial Micro-Expressions

IEEE Access
Gender recognition from facial images is challenging due to subtle discriminative features, particularly micro-expressions—brief, involuntary facial movements that exhibit gender-specific patterns but are difficult to capture with conventional ...
Mingjun Wang, Yuan Xiong, Meiliang Wang
doaj   +1 more source

''Sex Changes'? Paradigm Shifts in 'Sex' and 'Gender' Following the Gender Recognition Act?' [PDF]

Gender transformations are normatively understood as somatic, based on surgical reassignment, where the sexed body is aligned with the gender identity of the individual through genital surgery – hence the common lexicon \'sex change surgery\'. We suggest
Stephen Whittle, Lewis Turner
core  

Rapid face recognition using hashing [PDF]

, 2010
We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua, Qinfeng Shi, Hanxi Li, Shen, C., Li, Hanxi, Shi, Qinfeng, Chunhua Shen, Li, H., Shi, Q.   +8 more
core   +1 more source