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hemming » hemmling (Expand Search), hemmming (Expand Search), hemmying (Expand Search), hemmings (Expand Search), hamming (Expand Search), bhemmings (Expand Search)
shmming » shmmling (Expand Search), shmmming (Expand Search), shmmying (Expand Search), shimming (Expand Search), summing (Expand Search), shaming (Expand Search)
ssping » sspling (Expand Search), sspming (Expand Search), sspying (Expand Search), suping (Expand Search), sspingg (Expand Search), sssping (Expand Search)
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pin » ping (Expand Search), spin (Expand Search)
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A study of computer contract failures in continental Europe
Published 2014Get full text
Final Year Project (FYP) -
223
Effectiveness of prediction models for business failure in the Singapore context
Published 2014Get full text
Final Year Project (FYP) -
224
Computerised model of zero coupon yield curve derived by bootstrapping
Published 2014Get full text
Final Year Project (FYP) -
225
Goods and services tax in the financial services sector : impact on commercial bank profitability
Published 2014Get full text
Final Year Project (FYP) -
226
Insights to Skin-turf Friction as Investigated Using the Securisport
Published 2015Get full text
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Journal Article -
227
Corporate governance effects on audit lag and reporting timeliness.
Published 2008Get full text
Final Year Project (FYP) -
228
A flexible classification scheme for metadata resources
Published 2011Get full text
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Conference Paper -
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Towards an optimal and unbiased approach for tumor cell isolation
Published 2013Get full text
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Journal Article -
233
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Cross-Modal Deep Variational Hashing
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 -
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Reconciling the Accuracy-Diversity Trade-off in Recommendations
Published 2024Get full text
Article -
237
Reactivity of a distannylene toward potassium graphite : synthesis of a stannylidenide anion
Published 2013Get full text
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Journal Article -
238
Distributed local linear parameter estimation using gaussian SPAWN
Published 2019Get full text
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Journal Article -
239
Reversible natural language watermarking using synonym substitution and arithmetic coding
Published 2019Get full text
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Journal Article -
240
The impact of age and compensation on employee turnover in Singapore : a macro study.
Published 2008Get full text
Final Year Project (FYP)