Results 51 to 60 of about 3,274,646 (190)
CNN-RNN BASED HANDWRITTEN TEXT RECOGNITION
ICTACT Journal on Soft Computing, 2021 At present most of the scripts are handwritten due to the ease of using a pen tip in place of a keyboard, hence errors are common due to illegibility of the human handwriting. To avoid this problem handwriting recognition is essential.
Hemanth G R +4 more
doaj +1 more source
IEEE Access, 2022 To solve the problem of the low recognition rate of continuous dynamic gestures in Chinese sign language, a non-invasive end-to-end continuous dynamic gesture recognition system combining Inertial Measurement Unit (IMU) signal and surface ...
Jinquan Li +3 more
doaj +1 more source
Global models for temporal relation classification [PDF]
, 2008 textTemporal relation classification is one of the most challenging areas of natural language processing. Advances in this area have direct relevance to improving practical applications, such as question-answering and summarization systems, as well as ...
Ponvert, Elias Franchot
core +1 more source
Towards end-to-end speech recognition with transfer learning
EURASIP Journal on Audio, Speech, and Music Processing, 2018 A transfer learning-based end-to-end speech recognition approach is presented in two levels in our framework. Firstly, a feature extraction approach combining multilingual deep neural network (DNN) training with matrix factorization algorithm is ...
Chu-Xiong Qin, Dan Qu, Lian-Hai Zhang
doaj +1 more source
Applied Sciences, 2021 State-of-the-art Optical Music Recognition (OMR) techniques follow an end-to-end or holistic approach, i.e., a sole stage for completely processing a single-staff section image and for retrieving the symbols that appear therein.
María Alfaro-Contreras +1 more
doaj +1 more source
Causalcall: Nanopore Basecalling Using a Temporal Convolutional Network
Frontiers in Genetics, 2020 Nanopore sequencing is promising because of its long read length and high speed. During sequencing, a strand of DNA/RNA passes through a biological nanopore, which causes the current in the pore to fluctuate. During basecalling, context-dependent current
Jingwen Zeng +5 more
doaj +1 more source
Simultaneous Neural Machine Translation using Connectionist Temporal Classification
CoRR, 2019 Simultaneous machine translation is a variant of machine translation that starts the translation process before the end of an input. This task faces a trade-off between translation accuracy and latency. We have to determine when we start the translation for observed inputs so far, to achieve good practical performance. In this work, we propose a neural
Katsuki Chousa +2 more
openaire +2 more sources
Journal of the Association for Information Science and Technology, EarlyView.Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley +1 more source
Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge [PDF]
, 2007 Syntactic parsing plays a pivotal role in most automatic natural language processing systems. The research project presented in this dissertation has focused on two main characteristics of connectionist models for natural language processing: their ...
Nkantah, DE
core
Deciphering transcriptome complexity via long‐read sequencing
iMeta, EarlyView.Long‐read sequencing is transforming transcriptomics from gene‐level quantification to isoform‐resolved interpretation by directly resolving full‐length transcript structures, transcription in repetitive regions, and linked molecular features. This review provides an end‐to‐end roadmap covering sequencing platforms, library preparation strategies ...
Chuwen Xu +21 more
wiley +1 more source