Showing 161 - 180 results of 3,484 for search '((pinn OR (hinge OR pine)) OR (((peng OR (spinae OR (espinae OR spinale))) OR pinka) OR main))', query time: 0.21s Refine Results
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    Banking behaviour of expatriate lecturers in Singapore. by Goh, Amy., Phua, Nai Hsin., Poh, Siok Peng.

    Published 2013
    “…In order to give a better insight of this market niche, a study on the banking behaviour of the expatriate lecturers in Singapore is initiated. The main objective of this study is to establish the bank selection criteria of expatriate lecturers and to get them to make comparison between their main banks in their home country and in Singapore. …”
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    Final Year Project (FYP)
  3. 163

    Effects of phorbol ester on vesicle dynamics as revealed by total internal reflection fluorescence microscopy by Zhang, Enming, Xue, Renhao, Soo, Jianchow, Chen, Peng

    Published 2012
    “…Exocytosis of neurotransmitter or hormone-filled vesicles is a highly dynamic process regulated by various proteins and lipids. As mainly revealed indirectly by the electrophysiological methods, exocytosis is believed to involve multiple kinetic steps in which vesicles transit from one state to another. …”
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    Journal Article
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    Ge-Doped bismuth vanadate solid electrolytes: synthesis, phase diagram and electrical properties by Lee, Chnoong Kheng, Tan, Meow Peng, West, Anthony R.

    Published 1994
    “…The location of Ge-doped Bi4V2O11 solid solutions in the Bi2O3-V2O5-GeO 2 ternary phase diagram has been determined; a more detailed study of the Bi4V2O11-Bi2GeO5 join has been carried out and the phase diagram presented. The main mechanisms for solid solution formation appear to involve substitution of both Ge and Bi into V sites, giving rise to the general formula Bi4+yV 2-2x-yGe2xO11-x-y: -0.04<y<0.23; 0<x<0.45 (not all values of x and y in these ranges). …”
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    Article
  20. 180

    Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

    Published 2017
    “…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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    Conference Paper