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Sequential track extraction

IEEE Transactions on Aerospace and Electronic Systems, 1998
Sensors like radar or sonar usually produce data on the basis of a single frame of observation: target detections. The detection performance is described by quantities like detection probability Pd and false alarm density f. A different task of detection is formation of tracks of targets unknown in number from data of multiple consecutive frames of ...
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Extracting endocardial borders from sequential echocardiographic images

IEEE Engineering in Medicine and Biology Magazine, 1998
The authors discuss using mathematical morphology and temporal information (TI) to improve contour accuracy in the segmentation of 2D echo images. When the input consists of a sequence of images with poor quality, TI is used to assist the contour-extraction process. Spatial information of the contour in Frame i-1 is combined with the initial contour in
M M, Choy, J S, Jin
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Flow-through Sequential Extraction Approach Developed from a Batch Extraction Method

Environmental Science & Technology, 2002
Sequential extractions of contaminants from a soil or sediment have been shown to be cost-effective contaminated site assessment tools that provide information on contaminant partitioning within an environmental matrix. Such information is necessary for defining remediation alternatives and mitigation strategies.
H, Kurosaki   +3 more
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Extracting Sequential Nuggets of Knowledge

2007
We 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 ...
Froidevaux Christine   +2 more
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Sequential Track Extraction

2013
Iterative tracking algorithms must be initiated appropriately. Under simple conditions, this is not a difficult task, as has been shown above (Eq. 3.8). For low observable objects, i.e. objects embedded in a high clutter background [1, 2, 3, 4, 5] or in case of incomplete measurements [6, 7], more than a single set of observations at particular data ...
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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), 1970
Many 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.
W. J. Steingrandt, S. S. Yau
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Sequential extraction techniques: Promises and problems

Marine Chemistry, 1987
Abstract In order to gain a better understanding of biological and geochemical processes, sequential extraction techniques are widely employed to obtain information about the so-called ‘solid-speciation’ of chemical elements in soils and in suspended and deposited sediments.
J.M Martin, P Nirel, A.J Thomas
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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), 2007
Many 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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Sequential-injection extraction for sample preparation

Analytica Chimica Acta, 1997
Abstract This report introduces a flow-based extraction method where an aqueous sample and organic solvent are injected sequentially into an extraction coil, then mixed and separated due to the differential flow velocities of the aqueous and organic phases.
Kristina L. Peterson   +3 more
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Keyphrase Extraction with Sequential Pattern Mining

Proceedings of the AAAI Conference on Artificial Intelligence, 2017
Existing 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, Victor Sheng, Xindong Wu
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