Results 61 to 70 of about 4,593,161 (321)
Incomplete handwritten Dongba character image recognition by multiscale feature restoration
Heritage ScienceIncomplete handwritten Dongba character often appears in heritage documents and its recognition is significant for heritage and philology. However, all previous methods always suppose that a complete Dongba character is used as input, and thus fail to ...
Xiaojun Bi, Yanlong Luo
doaj +1 more source
Recognition of Handwritten Chinese Characters Based on Concept Learning
IEEE Access, 2019 Many deep-learning character recognition methods have been developed over the past few years. Chinese characters are widely used in many countries; however, the deep-learning-based Chinese character recognition methods are faced with various problems ...
Liang Xu, Yuxi Wang, Xiuxi Li, Ming Pan
doaj +1 more source
Character-Level Incremental Speech Recognition with Recurrent Neural Networks
, 2016 In real-time speech recognition applications, the latency is an important issue. We have developed a character-level incremental speech recognition (ISR) system that responds quickly even during the speech, where the hypotheses are gradually improved ...
Hwang, Kyuyeon, Sung, Wonyong
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges +12 more
wiley +1 more source
Deep Self-Taught Learning for Handwritten Character Recognition [PDF]
, 2010 Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtained by composing multiple non-linear transformations.
Bastien, Frédéric +16 more
core
Bangla Handwritten Character Recognition using Convolutional Neural Network with Data Augmentation
International Conference on Informatics, Electronics and Vision, 2019 This paper proposes a process of Handwritten Character Recognition to recognize and convert images of individual Bangla handwritten characters into electronically editable format, which will create opportunities for further research and can also have ...
Rumman Rashid Chowdhury +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Radical aggregation network for few-shot offline handwritten Chinese character recognition
Pattern Recognition Letters, 2019 Offline handwritten Chinese character recognition has attracted much interest due to its various applications. The most cutting-edge methods treat Chinese character as a whole, ignoring the structures and radicals that compose characters.
Tianwei Wang +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Handwritten Arabic character recognition: which feature extraction method? [PDF]
, 2011 Recognition of Arabic handwriting characters is a difficult task due to similar appearance of some different characters. However, the selection of the method for feature extraction remains the most important step for achieving high recognition accuracy ...
Angelova, Maia +3 more
core