Zobrazeno 241 - 250
of 733
pro vyhledávání: '"Jianping Yin"'
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
In the age of big data, large-scale learning problems become increasingly significant. Distributed machine learning algorithms thus draw a lot of interest, particularly those based on Stochastic Gradient Descent (SGD) with variance reduction techniqu
Publikováno v:
ICMV
In an abnormal cervical cell detection system the discriminated abilities of different features are not same so the optimized combination method of all features is an essential component to this system. Feature selection can improve each feature util
Publikováno v:
Physical Review A. 95
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
Multiple kernel $k$-means (MKKM) aims to improve clustering performance by learning an optimal kernel, which is usually assumed to be a linear combination of a group of pre-specified base kernels. However, we observe that this assumption could: i) ca
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811068928
NCTCS
NCTCS
By the challenge of rich data and poor information, recommender systems technology emerged as the time require and vigorous developed to more and more powerful vitality. However, in some real-world applications such as financial domain, the recommend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b168000193c6bf53c7fea97553c967d
https://doi.org/10.1007/978-981-10-6893-5_25
https://doi.org/10.1007/978-981-10-6893-5_25
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811068928
NCTCS
NCTCS
Recently, Regional Max Aggregating Convolutional (R-MAC) feature built upon Convolutional Neural Networks (CNNs) has shown great feature representation power in object retrieval. Combing with re-ranking step by object localization and post-processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37db17b85a4abf74ebcb2feb4a997134
https://doi.org/10.1007/978-981-10-6893-5_3
https://doi.org/10.1007/978-981-10-6893-5_3
Publikováno v:
Neural Information Processing ISBN: 9783319700953
ICONIP (2)
ICONIP (2)
Deep clustering utilizes deep neural networks to learn feature representation that is suitable for clustering tasks. Though demonstrating promising performance in various applications, we observe that existing deep clustering algorithms either do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f218332cd25952d04bc7a54cb065a2
https://doi.org/10.1007/978-3-319-70096-0_39
https://doi.org/10.1007/978-3-319-70096-0_39
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811052293
ICCSIP
ICCSIP
One-class classification/data description plays a key roles in numerous applications such as anomaly detection. This paper presents a novel ensemble one-class extreme learning machine (EOCELM), which not only yields sound performance but also facilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4af41525608d347936570e493929d7a
https://doi.org/10.1007/978-981-10-5230-9_40
https://doi.org/10.1007/978-981-10-5230-9_40
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811068928
NCTCS
NCTCS
Clustering analysis is one of the most important tasks in statistics, machine learning, and image processing. Compared to those clustering methods based on Euclidean geometry, spectral clustering has no limitations on the shape of data and can detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7378ab5f8cc3c117b0e943fbcc56f4e
https://doi.org/10.1007/978-981-10-6893-5_15
https://doi.org/10.1007/978-981-10-6893-5_15
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2017 (2017)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Multiview clustering aims to improve clustering performance through optimal integration of information from multiple views. Though demonstrating promising performance in various applications, existing multiview clustering algorithms cannot effectivel