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Sequential Extraction and Phytochemical Study of the Extracts of Mitragyna speciosa
MALAYSIAN JOURNAL OF CHEMISTRYopenaire +1 more source
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Sequential Extraction of Minor Components
Neural Processing Letters, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tianping Chen +2 more
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Minerva: Sequential Covering for Rule Extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008Various benchmarking studies have shown that artificial neural networks and support vector machines often have superior performance when compared to more traditional machine learning techniques. The main resistance against these newer techniques is based on their lack of interpretability: it is difficult for the human analyst to understand the ...
Johan Huysmans +3 more
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Pitfalls of sequential extractions
Water Research, 1990Abstract An increasing number of researchers are using sequential extractions to determine the speciation of trace elements in sediments. Unfortunately, sequential extraction methods have not been successfully validated. The results are simply taken as providing “operational definitions” of the phases one is trying to measure.
P.M.V. Nirel, F.M.M. Morel
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Keyphrase Extraction with Sequential Pattern Mining
Proceedings of the AAAI Conference on Artificial Intelligence, 2017Existing studies show that extracting a complete keyphrase candidate set is the first and crucial step to extract high quality keyphrases from documents. Based on a common sense that words do not repeatedly appear in an effective keyphrase, we propose a novel algorithm named KCSP for document-specific keyphrase candidate search using ...
Qingren Wang +2 more
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Sequential feature extraction for waveform recognition
Proceedings of the May 5-7, 1970, spring joint computer conference on - AFIPS '70 (Spring), 1970Many practical waveform recognition problems involve a sequential structure in time. One obvious example is speech. The information in speech can be assumed to be transmitted sequentially through a phonetic structure. Other examples are seismograms, radar signals, or television signals.
William J. Steingrandt, Stephen S. Yau
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Reconstruction of frescoes by sequential layers of feature extraction
Pattern Recognition Letters, 2021Abstract This work presents the development of a new method for solving puzzles, based on sequence of layers, called Retention Layers Method, using feature extraction algorithms with a new method to select the corresponding keypoints between puzzle pieces and reference image, called the Middle Triangle Method.
Thiago da Silva Teixeira +2 more
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Sequential extraction of clusters for imbalanced data
2013 IEEE International Conference on Granular Computing (GrC), 2013K-means type clustering has a central role in various clustering algorithms. In spite of its usefulness, there is a well-known drawback, the number of clusters should be determined beforehand, and clustering results are strongly depends of this number.
Hengjin Tang, Sadaaki Miyamoto
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Improved sequential endmember extraction algorithms
2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011Most of sequential endmember extraction algorithms, such as iterative error analysis (IEA), vertex component analysis (VCA), and simplex growing algorithm (SGA), use sequential forward selection (SFS) searching strategy. The advantage is its low computational complexity. However, it is sensitive to the initial condition. To reduce the “nesting effect”,
Qian Du 0001, He Yang, Nicolas H. Younan
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Extracting Sequential Nuggets of Knowledge
2007We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good quality, which may be highly relevant to scientific knowledge discovery. Then we propose the algorithm SNK that mines some interesting subset of sequential nuggets of knowledge and apply ...
Christine Froidevaux +2 more
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