Scene text recognition by Muhammad Afiq Osman

“…Scene text recognition problem has recently seen interest within the deep learning community. …”
Get full text

Text recognition from images mobile application by Phua, Melvin

“…Recognizing text from images with computers has been made possible through the advancement of Computer Vision or a more specific term relevant to this project, OCR (Optical Character Recognition). …”
Get full text

Keyword and named entity recognition on emergency call texts by Hu, Wanyu

“…This report utilize one of the methods of Artificial Intelligence (AI), specifically the Named Entity Recognition (NER) technique on Emergency Call Texts. …”
Get full text

Personality recognition from text based on the MBTI model by Chew, Andrel Kit Waye

Get full text

Deep structured output learning for unconstrained text recognition by Jaderberg, M, Simonyan, K, Vedaldi, A, Zisserman, A

“…The resulting model is a more accurate system on standard real-world text recognition benchmarks than character prediction alone, setting a benchmark for systems that have not been trained on a particular lexicon. …”

Keyword and named entity recognition on air traffic control text by Tay, Nikole Qiwei

“…A demo website which allows the input of ATC text features the working application of NER by returning the highlighted and annotated name entities.…”
Get full text

Training deep network models for accurate recognition of texts in scenes by Chen, Cheng

“…Scene Text Recognition is an important task because of its many potential applications in the industries. …”
Get full text

Deep learning-based text augmentation for named entity recognition by Surana, Tanmay

“…This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. …”
Get full text

Training deep network models for accurate recognition of texts in scene images by Chen, Pengfei

“…Recognition of text automatically is playing an important role and act as a foundation in Artificial Intelligence field. …”
Get full text

Training deep network models for accurate recognition of texts in scene images by Zhang, Weilun

“…Text recognition from scene images constitutes still a very challenging task because of various backgrounds, variations in size and space, as well as irregular arrangements. …”
Get full text

Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

Get full text

Comparison of character recognition performance - bayes classifier and neural network methods by Low, Siew Eng.

Get full text

Algorithms for extracting text from degraded document images by Chen, Yan

Get full text

Robust text-independent speaker verification in environmental noise by Panda, Ashish

Get full text

Keyword and named entity recognition on air traffic control (ATC) data by Thia, Jeremy Ming Xuan

Get full text

Efficient visual search of videos cast as text retrieval by Sivic, J, Zisserman, A

“…Efficient retrieval is achieved by employing methods from statistical text retrieval, including inverted file systems, and text and document frequency weightings. …”

Converting a text mining system into a UIMA framework by Choo, Zhen Ying.

“…Parts of an existing Ontology-driven Software Engineering Environment (OSEE) pattern matching system that infers implied events from direct events from biomedical text, are converted into the UIMA structure and deployed into U-Compare system in this project to employ the benefits of the UIMA Framework. …”
Get full text

Video Google: a text retrieval approach to object matching in videos by Sivic, J, Zisserman, A

“…The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion. …”

News article named entity recognition and analytics by Goh, Nicholas

Get full text

Exploring machine learning models for age recognition by Dharmarathne, Chathuranga, Ouazzane, Karim, Shrestha, Subeksha, Fernando, Sandra

Get full text
Get full text