Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kart Leong Lim"'
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075b0b9af76479df930aeab6fdfc807d
https://doi.org/10.1109/smc53654.2022.9945171
https://doi.org/10.1109/smc53654.2022.9945171
Publikováno v:
IEEE Signal Processing Letters. 27:231-235
An autoencoder that learns a latent space in an unsupervised manner has many applications in signal processing. However, the latent space of an autoencoder does not pursue the same clustering goal as Kmeans or GMM. A recent work proposes to artificia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e5a66b8041afdf2d0eb2a1dd6e18b8
https://doi.org/10.1109/lsp.2020.2965328
https://doi.org/10.1109/lsp.2020.2965328
Autor:
Kart-Leong Lim, Rahul Dutta
Publikováno v:
ICPHM
The Prognostics and Health Management Data Challenge (PHM) 2016 tracks the health state of components of a semiconductor wafer polishing process. The ultimate goal is to develop an ability to predict the wafer surface wear and tool settings through m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4ab16cf48423c2829c0b6253e3495b
https://doi.org/10.1109/icphm51084.2021.9486471
https://doi.org/10.1109/icphm51084.2021.9486471
Autor:
Kart-Leong Lim, Rahul Dutta
Publikováno v:
2020 IEEE 22nd Electronics Packaging Technology Conference (EPTC).
Chemical Mechanical Polishing (CMP) is one of the most critical process step in the fabrication of advanced packages, such as Fanout Wafer Level Packaging (FOWLP). CMP process requires tight and dynamic control of process parameters to achieve palnar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99bc20a4e8af6900be71b23eebca018c
https://doi.org/10.1109/eptc50525.2020.9315140
https://doi.org/10.1109/eptc50525.2020.9315140
Autor:
Kart-Leong Lim
Publikováno v:
IJCNN
Large scale Bayesian nonparametrics (BNP) learner such as Stochastic Variational Inference (SVI) can handle datasets with large class number and large training size at fractional cost. Like its predecessor, SVI rely on the assumption of conjugate var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e801eb911623403567f01ec2dcaa044
https://doi.org/10.1109/ijcnn48605.2020.9207115
https://doi.org/10.1109/ijcnn48605.2020.9207115
Autor:
Kart-Leong Lim, Han Wang
Publikováno v:
International Journal of Approximate Reasoning. 93:153-177
In Bayesian nonparametrics model such as Dirichlet process mixture (DPM), learning is almost exclusive to either variational inference or Gibbs sampling. Yet variational inference is seldom mainstream in fast algorithms for DPM mainly due to high com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31adb7a4d38d35a7eb3a8cf075da919
https://doi.org/10.1016/j.ijar.2017.11.001
https://doi.org/10.1016/j.ijar.2017.11.001
Autor:
Kart-Leong Lim
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b67538e5115059f3bc3421b41bf535c4
https://doi.org/10.5220/0008944300330042
https://doi.org/10.5220/0008944300330042
Publikováno v:
Knowledge-Based Systems. 222:107016
Recently, multi-view learning has captured widespread attention in the machine learning area, yet it is still crucial and challenging to exploit beneficial patterns from multi-view data. Specifically, very limited work has been devoted to multi-view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfff49945e751ccd29c4b48e2f1cf091
https://doi.org/10.1016/j.knosys.2021.107016
https://doi.org/10.1016/j.knosys.2021.107016
Autor:
Xudong Jiang, Kart-Leong Lim
Publikováno v:
Pattern Recognition. 112:107783
Scalable algorithms of variational posterior approximation allow Bayesian nonparametrics such as Dirichlet process mixture to scale up to larger dataset at fractional cost. Recent algorithms, notably the stochastic variational inference performs loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faca7e24aa3a098f2bb3c3463507cd34
https://doi.org/10.1016/j.patcog.2020.107783
https://doi.org/10.1016/j.patcog.2020.107783
Autor:
Kart-Leong Lim, Han Wang
Publikováno v:
IEEE Signal Processing Letters. 24:91-95
A recently proposed sparse coding based Fisher vector extends traditional GMM based Fisher Vector with a sparse term. Our experiments revealed that the addition of this sparse term alone significantly outperforms GMM based Fisher Vector by almost 20%
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8b713fd5a44f9611b9d20bf17ccbb6
https://doi.org/10.1109/lsp.2016.2636900
https://doi.org/10.1109/lsp.2016.2636900