Intelligence operations : risks faced by academia by Loh, Dylan Ming Hui, Ho, Benjamin Tze Ern

“…The involvement of a Singapore citizen in a foreign intelligence operation in the US highlights the challenges faced by the academia as competition and contestation among major powers become more intense. …”
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Face recognition based on PCA and LDA by Qiu, Liangdong

“…Using machine learning algorithms to solve face recognition problems is a hot topic for research. …”
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Techniques for face recognition in surveillance applications by Htun, Naw Olive.

“…In this project, the main focus is to study still-image face recognition system and thus theoretical backgrounds for the two essential algorithms in recognizing the different faces and the neural network used to implement the face recognition are briefly presented in this report. …”
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Face recognition in unconstrained images and videos by Nguyen, Bich Hoang Anh

“…In recent years, face recognition remains as one of the most attractive research topic in the computer vision field. …”
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Real-time face detection and recognition by Tang, Ying Hao

“…Real-time face detection (RTFD) and recognition is used widely in many areas from tagging faces on Facebook, custom services at airports and to unlocking phones through a face recognition application. …”
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Face recognition using openCV by Shi, Fangzhou

“…How can we extract human face data from complex environment? It has always been an essential question for computer engineers. …”
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Joint Feature Learning for Face Recognition by Lu, Jiwen, Liong, Venice Erin, Wang, Gang, Moulin, Pierre

Subjects: “…Face recognition…”
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Problems faced by women journalists in Singapore

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Comparing the effectiveness of online and face-to-face teaching and learning methods in an engineering course during and after the COVID-19 pandemic by Diana Che Lat, Doris Asmani Mat Yusof, Nurul Ainain Mohd Salim, Roslizayati Razali

“…Overall, there was a drastic decrease in assessment grades for semesters that experienced a change in the teaching and learning process from online to face-to-face.…”
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Design of anti-spoofing system for face recognition by Ang, Alexandrea Shiying

“…The advancement of technology means that threats and the ways one can attack is increasing. Face spoofing detection is one way to overcome the attack of spoofing. …”
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An experimental setup for physiological evaluation of face mask by Joseph, Frank Gerard

“…The COVID-19 pandemic has increased public awareness on the importance of using face masks to control the spread of diseases. This had resulted in increased public interest in face mask construction and effectiveness to prevent the spread of airborne pathogens. …”
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Face recognition based on Bayesian shape model by Yan, Bing

“…Interest and research activities in automatic face recognition have been developed significantly in last few years. …”
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Age group classification via face images by Lee, Lai Soon.

“…Age estimation is identifying a face image that is in the age group (year range) of the individual face. …”
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Mian xiang : my face my story. by Hu, Qiren.

“…Face-reading or Physiognomy is the art of reading the mind’s construction in the face and body. …”
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Experimenting on weighted PCA on Yale face database by Moe Thu Zar.

“…The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images.…”
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Issues faced by small Singapore travel agents by Serena Kwek Ching Ching, Kwok Hwee Peng, Ng Siew Kwan

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Tunnel face stability in non-homogeneous soil by Khezri, Nima

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Discriminative deep metric learning for face verification in the wild by Hu, Junlin, Lu, Jiwen, Tan, Yap Peng

“…This paper presents a new discriminative deep metric learning (DDML) method for face verification in the wild. Different from existing metric learning-based face verification methods which aim to learn a Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, simultaneously, the proposed DDML trains a deep neural network which learns a set of hierarchical nonlinear transformations to project face pairs into the same feature subspace, under which the distance of each positive face pair is less than a smaller threshold and that of each negative pair is higher than a larger threshold, respectively, so that discriminative information can be exploited in the deep network. …”
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Enhancing local binary patterns distinctiveness for face representation by Ghahramani, Mohammad, Yau, Wei-Yun, Teoh, Eam Khwang

“…Results show that using the UTLBP, the total error in face recognition and family verification is reduced up to 8% and 3% respectively comparing to the state of the art LBP. …”
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Economic challenges facing Singapore in the 21st century. by Lim, Khai Dee., Koh, Wui Leng., Qwek, Grace Yann Leei.

“…Despite the various problems and challenges we faced along the way, we managed to come up with appropriate responses and solutions. …”
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