News article named entity recognition and analytics by Goh, Nicholas

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

“…This report will discuss the application of Named Entity Recognition (NER), a Natural Language Processing (NLP) method on Air Traffic Control (ATC) conversations to improve and attain higher precision in the communication between pilots and air traffic controllers. …”
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Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

“…Experiments are conducted to study the performance of our proposed architecture with BERT word embeddings on AutoNLP name entity recognition tasks.…”
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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. …”
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Dataset issues in object recognition by Ponce, J, Berg, TL, Everingham, M, Forsyth, DA, Hebert, M, Lazebnik, S, Marszalek, M, Schmid, C, Russell, BC, Torralba, A, Williams, CKI, Zhang, J, Zisserman, A

“…Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances of these models in images, and evaluating the performance of recognition algorithms. …”

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

“…This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. …”
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Canonical frames for planar object recognition by Rothwell, CA, Zisserman, A, Forsyth, DA, Mundy, JL

Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

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Object recognition using deep learning features by Zhu, Daiqing

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3D object recognition using invariance by Zisserman, A, Forsyth, D, Mundy, J, Rothwell, C, Liu, J, Pillow, N

“…<p>The systems and concepts described in this paper document the evolution of the geometric invariance approach to object recognition over the last five years. Invariance overcomes one of the fundamental difficulties in recognising objects from images: that the appearance of an object depends on viewpoint. …”

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

“…Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. …”
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Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

“…This paper further studies the performance of ELM and its variants in object recognition using two different feature extraction methods. …”
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Small object recognition using machine learning techniques by Loy, Hui Juan

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Object recognition and pose estimation in robotic grasping system by Zhou, Jiadong

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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

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Face/object recognition and tracking on IoT device with 3D camera by Lin, Yuxin

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ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches by Chen, Wenqiang, Lin, Shupei, Peng, Zhencan, Parizi, Farshid Salemi, Heo, Seongkook, Patel, Shwetak, Matusik, Wojciech, Zhao, Wei, Stankovic, John

“…This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. …”
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Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine by Bai, Zuo, Kasun, Liyanaarachchi Lekamalage Chamara, Huang, Guang-Bin

Subjects: “…Generic object recognition; local receptive fields; Extreme Learning Machine (ELM)…”
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Development of a machine-learning based object recognition system for quadrotors in urban environments by Lim, Brandon Yi Ming

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