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Cattle identifying research paper machine learning
CrossRef Google Scholar. We propose new methods to compare the density and diversity of image datasets and show that Places is as dense as other scene datasets and has more diversity. HIC that presents how publications build upon and relate to each other is result of identifying meaningful citations. A survey on feature selection methods, by Chandrashekar,., Sahin,. Trends in extreme learning machines: a review, by Huang,., Huang,., Song,., You,. However, we see strong diversity - only one author (Yoshua Bengio) has 2 papers, and the papers were published in many different venues: CoRR (3 eccv (3 ieee cvpr (3 nips (2 ACM Comp Surveys, icml, ieee pami, ieee tkde, Information Fusion, Int. Rattani,., Kisku,.R., Bicego,., Tistarelli,.: Feature level fusion of face and fingerprint biometrics. Computers and Electronics in Agriculture 76(2 169174 (2011).
Why read: An approach to reduce the time needed for hyperparameter optimization of deep CNNs. Support vector machine applied to predict the zoonotic potential of O157 cattle isolates. This is a preview of subscription content, to check access.
In: Conference Proceedings of the ieee International Conference on Systems, Man and Cybernetics 1990,. By showing that the resulting data matrix is circulant, we can diagonalize it with the discrete Fourier transform, reducing both storage and computation by several orders of magnitude. Summary: We present a residual learning framework to ease the training of deep neural networks that are substantially deeper than those used previously. (cited 1436 times, HIC: 137, CV: 582). For each paper we also give the year it was published, a Highly Influential Citation count (HIC) and Citation Velocity (CV) measures provided by semanticscholar. Archive More details can be found here.
Pattern Recognition 36(10 (2003) CrossRef Google Scholar. Copyright Optibrand Ltd., LLC (2002). (eds.) Innovations in Bio-inspired Computing and Applications. Since the number of citations varied among sources and are estimated, we listed the results from m which is slightly lower than others. Journal of Animal Breeding and Genetics 110(1-6 385392 (1993). In Proceedings of the 20th ACM sigkdd international conference on Knowledge discovery and data mining ACM. Usually, recording and reading of tags-based systems are used to identify animal, but only effective in eradication programs of national disease. SVM classifier with its different kernels (Gaussian, Polynomial, Linear and Sigmoid) has been applied to Gabor features.