EMG-based eye gestures recognition for hands free interfacing by Zahran, Ahmed

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Enhancement of the Fynbos Leaf Optical Recognition Application (FLORA-E) by Makumborenga, Roy

“…The algorithm successfully achieved a top 5 match rate of 76% for stems, 86% for leaves and 81% overall when tested using a database of 24 fynbos species (predominantly from the Proteaceae family), where each species had approximately 50 sample images. …”
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Object recognition and automatic selection in a Robotic Sorting Cell by Janse van Rensburg, Frederick Johannes

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The impact of psychosocial stress and biological sex on false recognition memory by Henry, Michelle

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State Recognition of Customary Land Rights in the Kenyan Rift Valley

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Investigation of the impact of high frequency transmitted speech on speaker recognition by Pool, Jan

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End-to-end automatic speech recognition of code-switched speech by Tredoux, Larissa

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Crafting an effective test : devising a model of aptitude testing for interpreter training by Gambrell, Simone Eden

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A comparison of Gaussian mixture variants with application to automatic phoneme recognition by Brand, Rinus

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Discriminative and Bayesian techniques for hidden Markov model speech recognition systems

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Speech recognition in noise and temporal resolution abilities of formally trained musicians

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An investigation of a pattern recognition system to analyse and classify dried fruit by Henry, Karen Jane

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Identification of the putative urinary intraspecific recognition pheromone of the caracal caracal caracal by Hailemichael Goitom, Aron

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The butcher, the baker, the candlestick maker: investigating facial recognition for multiple-perpetrator crimes by Nortje, Alicia

“…I studied these problems in the following ways: (a) a survey among South African detectives (N = 75) to investigate how multiple suspect parades are administered in practice; (b) two face recognition experiments where the number of face-attribute pairs was manipulated at encoding to investigate the effect of set size on both item recognition (for attributes and faces), and associative memory performance (i.e., matching identity to role; N = 70, and N = 67); (c) an eyewitness experiment where participants studied a simulated crime committed by up to 10 perpetrators whom they had to recognise later (N = 200); and (d) a set of simulations testing a revised version of the Interactive Activation and Competition network proposed by Burton et al. (1990) as a computational account of the memory difficulties experienced by eyewitnesses to multiple-perpetrator crimes. …”
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Social contact, prejudice, within-group variability, and the own-group recognition bias by Brunet, Malvina

“…Own Group Recognition Bias (OGRB) is a robust phenomenon defined by being better able to recognize individuals from one's own ethnic group compared to other groups. …”
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Social contact, prejudice, within-group variability, and the own-group recognition bias by Brunet, Malvina

“…Own Group Recognition Bias (OGRB) is a robust phenomenon defined by being better able to recognize individuals from one's own ethnic group compared to other groups. …”
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3D convolution with two-stream convNets for human action recognition by Hosny, Karim Mohamed

“…Popular datasets have been curated in order to benchmark the methods researched to tackle this problem, datasets such as UCF-101 and HMDB-51 are the most popular and are being tested with for all current and past techniques in the area of human action recognition. two-stream convolutional networks, a deep learning technique, has picked up the trend in recent years to solve the human action recognition problem. …”
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Unsupervised clustering of audio data for acoustic modelling in automatic speech recognition systems by Goussard, George Willem

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Adapting Large-Scale Speaker-Independent Automatic Speech Recognition to Dysarthric Speech by Houston, Charles

“…Despite recent improvements in speaker-independent automatic speech recognition (ASR), the performance of large-scale speech recognition systems is still significantly worse on dysarthric speech than on standard speech. …”
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