https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 3D Face Reconstruction From Single 2D Image Using Distinctive Features https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45266 Wed 26 Oct 2022 16:31:32 AEDT ]]> Extraction of brain vessels from magnetic resonance angiographic images: concise literature review, challenges, and proposals https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12761 Wed 11 Apr 2018 13:41:16 AEST ]]> Deep learning for automated forgery detection in hyperspectral document images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45600 Wed 02 Nov 2022 14:00:01 AEDT ]]> Learning to prioritize test programs for compiler testing https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32674 learning to test, which learns the characteristics of bug-revealing test programs from previous test programs that triggered bugs. Based on the idea of learning to test, we propose LET, an approach to prioritizing test programs for compiler testing acceleration. LET consists of a learning process and a scheduling process. In the learning process, LET identifies a set of features of test programs, trains a capability model to predict the probability of a new test program for triggering compiler bugs and a time model to predict the execution time of a test program. In the scheduling process, LET prioritizes new test programs according to their bug-revealing probabilities in unit time, which is calculated based on the two trained models. Our extensive experiments show that LET significantly accelerates compiler testing. In particular, LET reduces more than 50% of the testing time in 24.64% of the cases, and reduces between 25% and 50% of the testing time in 36.23% of the cases.]]> Tue 10 Jul 2018 15:38:29 AEST ]]> Combining Sentiment Lexicons and Content-Based Features for Depression Detection https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39830 Thu 28 Jul 2022 08:36:02 AEST ]]> Cascade-based license plate localization with line segment features and Haar-like features https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11802 Sat 24 Mar 2018 08:13:10 AEDT ]]> Accurate pedestrian counting system based on local features https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21844 Sat 24 Mar 2018 08:06:19 AEDT ]]> A novel approach to ball detection for humanoid robot soccer https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19215 Sat 24 Mar 2018 07:54:58 AEDT ]]> Recognition and analysis of cell nuclear phases for high-content screening based on morphological features https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6826 Sat 24 Mar 2018 07:49:48 AEDT ]]> Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53271 Mon 20 Nov 2023 12:56:42 AEDT ]]> Coral reef optimization for intensity-based medical image registration https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34040 Mon 04 Feb 2019 15:01:53 AEDT ]]> A literature review on sentiment analysis and its foundational technologies https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48982 Fri 21 Apr 2023 12:10:57 AEST ]]>