Results 41 to 50 of about 148,501 (286)
Segmentation of Devanagari Handwritten Characters
International Journal of Computer Applications, 2016 The world is fast moving towards digitalization. In the age of super-fast computational capabilities, everything has to be made digitalized so as to make the computer understand and thereby process the given information. Optical character recognition is a method by which the computer is made to learn, understand and interpret the languages used and ...
Neha Sahu, Ankita Srivastav
openaire +1 more source
Radical-Enhanced Chinese Character Embedding
, 2014 We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and ...
Ji, Zhenzhou +5 more
core +1 more source
Text segmentation with character-level text embeddings [PDF]
, 2013 Learning word representations has recently seen much success in computational linguistics. However, assuming sequences of word tokens as input to linguistic analysis is often unjustified.
Chrupała, Grzegorz
core +2 more sources
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement
IEEE Access, 2020 Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separating handwritten ...
Jinyingming Zhang +4 more
doaj +1 more source
End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
IEEE Access, 2023 Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
doaj +1 more source
ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]
, 2009 Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Bhattacharyya, Kaustubh +1 more
core +1 more source
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
, 2018 Characters have commonly been regarded as the minimal processing unit in Natural Language Processing (NLP). But many non-latin languages have hieroglyphic writing systems, involving a big alphabet with thousands or millions of characters.
Feng, Yi +6 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adverse childhood experiences (ACEs) are stressful or traumatic events prior to age 18 that are known to have a lasting impact on individuals’ health and well‐being. There is a gap in understanding the relationship between ACEs and Other Life Stressors and health status for adults with sickle cell disease (SCD).
Marsha Treadwell +8 more
wiley +1 more source