dynamic feature
Crystal Structure and Solution Structural Dynamic Feature of 1,8 Dibenzoyl 2,7 Dimethoxynaphthalene
... the dynamic feature of molecular structure in solution for 1,8-dibenzoyl-2,7-dimethoxynaph- thalene are revealed by X-ray crystallographic analysis and VT-NMR ...
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Dynamic feature selection for clustering high dimensional data streams
... the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes as the stream ...a feature ...
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Alert Correlation System with Automatic Extraction of Attack Strategies by Using Dynamic Feature Weights
... Therefore, this paper presents a novel alert correlation method which can extract the attack scenarios without extra efforts of labeling training data. Moreover, we used dynamic feature weights to handle ...
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Dynamic Feature Induction: The Last Gist to the State of the Art
... several feature templates including many joint features without applying dynamic feature ...by dynamic feature induction, which was very ...
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Dynamic Feature Selection for Dependency Parsing
... We therefore ask the question: can we use fewer features to score the edges, while maintaining the ef- fect that the true dependency tree still gets a higher score? Motivated by recent progress on dynamic ...
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Studies on Test System Graying and Its Dynamic Feature Identification
... As all known, the test system always involves randomness, dynamism, time-varying due to the inevitable, undesirable measurement disturbances, and should be described as the stochastic process. These features are ...
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Learning Dynamic Feature Selection for Fast Sequential Prediction
... for feature- templated classifiers that optimize both accuracy and inference speed, using a process of dynamic feature ...of feature templates, we build up a vector of class scores ...
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Reliability aware Dynamic Feature Composition for Name Tagging
... Character-level representations are particularly effective for words containing morphemes that are related to a certain type of names. For example, “Eurodynamics” in the first sentence consists of “Euro-” and ...
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Behaviour-aware Malware Classification: Dynamic Feature Selection
... Abstract—Despite the continued advancements in security research, malware persists as being a major threat in this digital age. Malware detection is a primary defence strategy for most networks but the identification of ...
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Poisson random fields for dynamic feature models
... A number of directions for future work are open. First, as K → ∞ the fixed-K ap- proximation marginally converges to the infinite model, and simulations showed that their dynamics are remarkably similar; further work ...
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Large Data Generalized Dynamic Fault Feature Extraction Algorithm Based on Intuitionistic Fuzzy-Rough Set Discernibility Matrix
... the dynamic and large amount of data in large data sets, this paper has proposed a dynamic feature selection algorithm for large data, which combines dynamic reduction sampling theory with ...
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Fault classification in dynamic processes using multiclass relevance vector machine and slow feature analysis
... SFA dynamic feature extraction model is built on the benchmark ...low-dimensional dynamic feature space, which decreases the computational complexity of the RVM ...
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Feature Selection in Hierarchical Feature Spaces
... Feature selection is a very important and well studied problem in the literature. The objective is to identify features that are correlated with or predictive of the class label. Generally, all feature ...
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Research on dynamic time warping multivariate time series similarity matching based on shape feature and inclination angle
... Multivariate time series model representation From the TD method of Lee et al., we can see that when the weight values corresponding to the appropriate tilt angle and the time maintaining length were changed, the ...
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Dedicated Feature Buttons Feature HFAI
... Press to display the Home screen. Press to display call information or press programmed button to see what feature is programmed. Press for extension programming or features available only from the display. Press ...
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The Feature Core of Dynamic Reduct
... The reduct methods based on standard rough set are effective to some extent, but there are also some prob- lems to be solved in practice. Dynamic data, incremental data and noise data make the analysis results ...
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Phone & User Assignment. Feature Overview. Feature Prerequisites. Feature Setup
... Note: The list of available Station Types will reflect the current list of available station types that can be assigned for that site.. If additional stations are required, an order mu[r] ...
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Time domain signal feature extraction of mechanical and electrical equipment based on improved dynamic time warping
... improving dynamic time warping method to obtain a residual signal sequences with fault characterized sidebands and selecting the statistical characteristic parameters such as peak, RMS, kurtosis spectrum to ...
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Frugal Forests : learning a dynamic and cost sensitive feature extraction policy for anytime activity classification
... of feature sub-sampling, the depth-first traversal begins fitting ...The feature sub-sampling dur- ing forest training encourages diversity among trees, and so a breadth-first traversal selects more general ...
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Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
... popular feature compensation method is called SPLICE [17, 18], which learns a set of linear transforms to map noisy feature vec- tors to clean feature ...
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