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Feature Extraction Using Sequential Semidefinite Programming
9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), 2007Many feature extraction approaches end up with a trace quotient formulation. Since it is difficult to directly solve the trace quotient problem, conventionally the trace quotient cost is replaced by an approximation such that the generalised eigen-decomposition can be applied. In this work we directly optimise the trace quotient.
Chunhua Shen +2 more
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STUDY OF ZINC DISTRIBUTION BY SEQUENTIAL EXTRACTION PROCEDURE
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 2017Coal bottom ash (CBA) contains many elements that exist in different forms, which may change throughout the coal combustion process. This study presents the concentration and speciation of zinc in bottom ash of coal. Determination of total zinc was performed by two-stage microwave-acid digestion followed by ICP-OES.
Kavak, Orhan +4 more
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Formal extraction of memorizing elements for sequential VHDL synthesis
Proceedings. 24th EUROMICRO Conference (Cat. No.98EX204), 2002We present a method for latch and flip flop recognition within VHDL descriptions of hardware systems. Due to the simulation based semantics of VHDL, the existing synthesis tools rely on explicit templates to guarantee memorizing element inference. The approach proposed is based on a formal representation of VHDL in terms of interpreted Petri nets (IPN).
Jacomme, Ludovic +2 more
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User interactive object extraction with sequential image segmentation
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018In this study, a graph-based image segmentation algorithm which was developed in recent years and achieves a significant success in terms of the performance of both the accuracy and speed is used as an intermediate process for a user interactive object extraction method.
Ali Saglam, Nurdan Akhan Baykan
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Neural sequential transfer learning for relation extraction
2021Relationsextraktion (RE) befasst sich mit der Entwicklung von Methoden, die relationale Informationen in unstrukturierten Daten automatisch erkennen und abrufen können. Sie ist von entscheidender Bedeutung für Anwendungen der Informationsextraktion (IE), die darauf abzielen große Mengen an Wissen in unstrukturiertem natürlichsprachigem Text, z.B.
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Algorithms for Sequential Extraction of Clusters by Possibilistic Clustering
2007Possibilistic clustering that is robust to noise in data is another useful tool in addition to the best-known fuzzy c-means. However, there is a fundamental problem of strong dependence on initial values in possibilistic clustering and there is a proposal of an algorithm generating `one cluster at a time.' Moreover this method is related to the ...
Sadaaki Miyamoto, Youhei Kuroda
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Sequential Blind Signal Extraction with the Linear Predictor
2007The sequential blind signal extraction method with a linear predictor is proposed. The Kalman filter is introduced to overcome the problem of the choice of the linear predictor coefficients. Using a deflation technique, the proposed algorithm is able to sequentially recover the source signals one-by-one.
Yunxia Li, Zhang Yi 0001
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Improving Sequential Recommendation via Subsequence Extraction
2022 International Joint Conference on Neural Networks (IJCNN), 2022Hangyu Deng, Jinglu Hu
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Sequential extraction method: a review and evaluation
Environmental Geochemistry and Health, 1993J M, Jones, J, Hao
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Sequential Extraction of Wheat Seed Proteins
Cold Spring Harbor Protocols, 2006Angelika, Görg +2 more
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