domain features
Skin Blood Flow Response Signal Using Time and Frequency Domain Features for Pressure Ulcer Evaluation
... main features of SBFR response [6] [8] [29] in detecting PU, however, only Yapp [21] investigated the trends of peak ...xtracted features which include time do ma in and frequency domain ...main ...
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FEATURE EXTRACTION OF POWER SIGNAL
... time domain features like energy, standard deviation, mean, variance and frequency domain features like entropy of different power signal disturbances like voltage sag, swell, harmonics, ...
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Robust Features for Elbow Joint Angle Estimation Based on Electromyography
... Abstract—A noisy environment is a major problem which has to be resolved to get a good performance in the estimation. A robust feature is important in order to obtain an accurate position of the elbow joint from the ...
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Analysis of Unipolar and Bipolar 4x4 EHG Signal for Classifying Uterine Contraction
... time domain features such as RMS, variance, standard deviation and frequency domain features such as mean and median frequency are ...the features are classified. The result shows that ...
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Comprehensive Study of Biometric Authentication Systems, Challenges and Future Trends
... Spatial domain features: The statistical parameters such as mean, variance and standard deviation are computed from the intensity values of spatial domain ...Robust Features (SURF), ...
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Arrhythmia Classification with Single Beat ECG Evaluation and Support Vector Machine
... extracted features are the inputs to the classifier to compute the machine tuning time and accuracy of ...Time-domain features represent the quality, spectral content and amount of disorder present ...
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A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... frequency-domain features, for speech and music signals separately, and estimating the optimal speech/music thresholds, based on the probability density functions of the ...best features for ...
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A Fuzzy C Means based GMM for Classifying Speech and Music Signals
... audio features such as Time domain and Frequency domain are ...time domain features are Zero Crossing Rate (ZCR) and Short Time Energy ...frequency domain features are ...
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Computer Software Package for Analysis of Speech Signal
... extract features in time domain and frequency ...time domain analysis is useful for computing the time domain features like energy and zero crossing ...time domain. Hence the ...
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Emotion Classification from EEG Signals Using Time Frequency DWT Features and ANN
... transform features for emotion recognition via EEG ...time-domain features, two frequen- cy-domain features, as well as discrete wavelet transform coefficients have been studied using ...
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Multi dimensional abstractness in cross domain mappings
... The system has two main steps: first, the input text is mapped to concepts in the Suggested Up- per Merged Ontology (Niles & Pease, 2001); sec- ond, features based on the ontological properties of these ...
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Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage Based Construction Grammatical Cues
... source domain mappings, though at the cost of requiring a large database of metaphoric exemplars (Dodge et ...target domain share what they refer to as a ”direct ancestor”, such as in the case of ”the ...
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Characteristic Analysis of Transient Electromagnetic Disturbance Data in Substation
... time domain characteristics of the whole distribution information, the time domain characteristics can be more accurately grasp the transient disturbance ...
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Stacking With Auxiliary Features for Entity Linking in the Medical Domain
... Ensembling multiple systems is a well known standard approach to improving accuracy in ma- chine learning (Dietterich, 2000). Ensembles have been applied to a wide variety of problems in all domains of artificial ...
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Recurrent neural network models for disease name recognition using domain invariant features
... In this work, we used three different variants of bidirectional RNN models with word embedding features for the first time for disease name and class recognition tasks. Bidirectional RNN mod- els are used to ...
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Time and Frequency Domain Feature Extraction Method of Doppler Radar for Hand Gesture Based Human to Machine Interface
... frequency domain analysis. The extraction of the Doppler response features at time domain is developed by using cross correlation, and the time domain feature is represented by using peak ...
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Volume 8: ERCIM Symposium on Software Evolution 2007
... In [13], the evolution of domain concepts relevant to a product line was categorized as either vertical, domain-specific evolution (i.e. extension by new features) or horizontal evoluti[r] ...
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Improving Domain Adaptation Translation with Domain Invariant and Specific Information
... each domain is pre- dicted on the output of both the common decoder and its private ...out-of- domain decoder is used to help train the common encoder and decoder better which can also help in- ...
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3D Groundwater Modelling for Sustainable Resource Management – A Case Study
... The density of cells in a computational grid needs to be fine enough to capture the flow details, but not so fine that the overall number of cells in the domain is excessively large, because problems described by ...
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Exploring the Use of Linguistic Features in Domain and Genre Classification
... Karlgren and Cutting, 1994 reports good results in a genre clas- sification task based on a subset of these features, while Kessler et al., 1997 show t h a t a prudent selection of cues [r] ...
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