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high frequency classifier

high frequency classifier

A Binary Ensemble Classifier for High-Frequency Trading

a high-frequency trader. If the trade system is classified as a high-frequency trader, the majority of stock exchanges gives some discounts in fees, that is important when the system can

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A binary ensemble classifier for high-frequency

2015-7-17  A binary ensemble classifier for high-frequency trading Abstract: The aim of this study was to model and use machine learning techniques to maximize the chance of a market maker be executed successfully in a stock market, that is, when their bid and ask orders are filled at the desired prices.

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Online Classifier Adaptation in High Frequency EEG

The use of high frequency EEG features have recently been proposed as alternative or additional features in EEG-based BCIs. In this paper we examine the performance of several feature bands, and evaluate the performance on online classifier adaptation on these features.

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Forecasting trends of high-frequency KOSPI200

2012-10-15  Trends of high-frequency KOSPI200 index are predicted with learning classifiers. High-frequency spot trends are better predictable with spot futures. Virtual trading using the trained classifiers shows noticeable better profits.

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Porpoise Click Classifier (PorCC): A high-accuracy ...

2019-12-24  112 assigned to one of three categories: high-quality clicks (HQ), low-quality clicks (LQ), and 113 high-frequency noise (N). These categories were defined based on the characteristics of the 114 waveform, power spectrum, and spectrogram (Fig. 1). The performance of PorCC was tested

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ECG Signal Classification Using Various Machine

2018-10-18  Remove high frequency noise by low, high pass filter and butter worth filter. Detect the R peak by peak detection algorithm. Classify the ECG signal by using SVM, ANN, Adaboost and Naïve Bayes classifier. The main aim of the proposed method is to detect the R peak from QRS waveform and classify the ECG signal as normal or abnormal signal.

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U-Sleep: resilient high-frequency sleep staging npj ...

2021-4-15  The segment classifier module maps the intermediate, high-frequency representation to the sleep stage prediction at the desired frequency. It aggregates

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[1905.02649] High Frequency Residual Learning for

2019-5-7  Title:High Frequency Residual Learning for Multi-Scale Image Classification. Authors:Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas Huang, Lei Zhang. Download PDF. Abstract:We present a novel high frequency residual learning framework, which leads toa highly efficient multi-scale network (MSNet) architecture for mobile andembedded vision problems.

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GitHub - ratana103/QRS-detection-and-ECG

2018-4-27  QRS-detection-and-ECG-classifier. Usually for ECG signal, the frequency range over 80Hz is noise. So first, we need to remove this high frequency part. Next, in ECG signal, there is also one critical noise that is called POWER LINE NOISE. Since every electrical device is based on the power line of your grid (in your country 50Hz or 60Hz).

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ONLINE CLASSIFIER ADAPTATION IN HIGH FREQUENCY

2019-7-17  ONLINE CLASSIFIER ADAPTATION IN HIGH FREQUENCY EEG Anna Buttfield1, Pierre W. Ferrez1 and Jos´e del R. Mill´an1 1IDIAP Research Institute, Rue du Simplon 4, 1920 Martigny, Switzerland. E-mail: anna.buttfi[email protected] SUMMARY: In recent years a number of non-invasive Brain-Computer Interfaces have been de-

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CiteSeerX — ONLINE CLASSIFIER ADAPTATION IN

The use of high frequency EEG features have recently been proposed as alternative or additional features in EEG-based BCIs. In this paper we examine the performance of several feature bands, and evaluate the performance on online classifier adaptation on these features.

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[1905.02649] High Frequency Residual Learning for

2019-5-7  We present a novel high frequency residual learning framework, which leads to a highly efficient multi-scale network (MSNet) architecture for mobile and embedded vision problems. The architecture utilizes two networks: a low resolution network to efficiently approximate low frequency components and a high resolution network to learn high frequency residuals by reusing the

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U-Sleep: resilient high-frequency sleep staging npj ...

2021-4-15  The segment classifier module maps the intermediate, high-frequency representation to the sleep stage prediction at the desired frequency. It aggregates scores over longer segments of time.

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DMC-Fusion: Deep Multi-cascade Fusion with

2021-5-26  In this paper, a deep multi-fusion framework with classifier-based feature synthesis is proposed to automatically fuse multi-modal medical images. It consists of a pre-trained autoencoder based on dense connections, a feature classifier and a multi-cascade fusion decoder with separately fusing high-frequency and low-frequency.

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High Impedance Faults Detection in EHV Transmission

2007-6-28  The classifier is based on an algorithm that uses recursive method to sum the absolute values of the high frequency signal generated over one cycle and shifting one sample. A HIF model of distribution is modified for EHV transmission lines. Characteristics of the proposed fault detection scheme are analyzed by extensive simulation studies that ...

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GitHub - sutd-visual-computing-group/Fourier

Fourier Synthetic Image classifier : The code uses high frequency features extracted using the official matlab implementation by Dzanic et al. . The matlab code can be found . The code is clearly documented. Running the code

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GitHub - ratana103/QRS-detection-and-ECG-classifier ...

2018-4-27  QRS-detection-and-ECG-classifier. Usually for ECG signal, the frequency range over 80Hz is noise. So first, we need to remove this high frequency part. Next, in ECG signal, there is also one critical noise that is called POWER LINE NOISE. Since every electrical device is based on the power line of your grid (in your country 50Hz or 60Hz).

Get Price

ECG Signal Classification Using Various Machine

2018-10-18  Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and detects small electrical changes for each heat rate. It is used to investigate some types of abnormal heart function including arrhythmias and conduction disturbance. In this paper the proposed method is used to classify the ECG signal by using classification technique.

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Designing a symmetric classifier for image annotation ...

2018-1-1  Mean precision and mean frequency of sets of every 10 annotations are calculated. Lines fitted through the points representing these precision-frequency tuples (frequency along x-axis and precision along y-axis) are the precision-vs.-frequency plots. It is clear that our system maintains high precision for words with a wide range of frequencies.

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CiteSeerX — ONLINE CLASSIFIER ADAPTATION IN

The use of high frequency EEG features have recently been proposed as alternative or additional features in EEG-based BCIs. In this paper we examine the performance of several feature bands, and evaluate the performance on online classifier adaptation on these features.

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High Frequency Vibration Screen—Forui Machinery

2020-7-27  High Frequency Vibration Screen . Introduction: The high-frequency vibrating screen stainless steel sieve, used in fine grain materials, according to the grade,adjust sieve inclination angle, need level adjustment of inclination of sieve surface, close to 55 °,the fineness can reach -300 mesh, account for 75% or so.

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spiral classifier vsi5 crusher high frequency screen

spiral classifier vsi5 crusher high frequency screen High Frequency Vibration Screen—Forui Machinery High Frequency Vibration Screen Introduction: The highfrequency vibrating screen stainless steel sieve, used in fine grain materials, according to the grade,adjust sieve inclination angle, need level adjustment of inclination of sieve surface ...

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A time-frequency classifier for human gait recognition

2009-5-5  The movements of arms and legs give rise to micro Doppler which can be clearly detailed in the time-frequency domain using traditional or modern time-frequency signal representation. In this paper we propose a gait classifier based on subspace learning using principal components analysis(PCA).

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GitHub - sutd-visual-computing-group/Fourier

Fourier Synthetic Image classifier : The code uses high frequency features extracted using the official matlab implementation by Dzanic et al. . The matlab code can be found . The code is clearly documented. Running the code

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OSA Super-resolution optical classifier with high

2020-9-3  We propose and demonstrate a photon-efficient optical classifier to overcome the Rayleigh limit in spatial resolution. It utilizes mode-selective sum-frequency generation and single-pixel photon detection to resolve closely spaced incoherent sources based on photon counting statistics. Super-resolving and photon efficient, this technique can find applications in microscopy, light detection and ...

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ECG Signal Classification Using Various Machine

2018-10-18  Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and detects small electrical changes for each heat rate. It is used to investigate some types of abnormal heart function including arrhythmias and conduction disturbance. In this paper the proposed method is used to classify the ECG signal by using classification technique.

Get Price

GitHub - mika018/Character-Recognition-Classifier

Contribute to mika018/Character-Recognition-Classifier development by creating an account on GitHub. ... whereas areas with rapidly changing intensity will result in high frequency. The output is another image with the corresponding magnitude values at various frequency levels on both axis. For instance, when the frequency on both axis is 0, i ...

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An evolving neuro-fuzzy classifier for fault diagnosis

2021-5-17  The motor drives the gearbox through two elastic couplings that can provide damping to the high-frequency components and shocks from the motor. An optical sensor (Monarch Instruments, ROS-HT-W-25, 1–50,000 RPM, 40 mA and 3–15 V) can provide a reference signal that is applied for time synchronous average filtering operations.

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Designing a symmetric classifier for image annotation ...

2018-1-1  Mean precision and mean frequency of sets of every 10 annotations are calculated. Lines fitted through the points representing these precision-frequency tuples (frequency along x-axis and precision along y-axis) are the precision-vs.-frequency plots. It is clear that our system maintains high precision for words with a wide range of frequencies.

Get Price

ONLINE CLASSIFIER ADAPTATION IN HIGH FREQUENCY

2019-7-17  ONLINE CLASSIFIER ADAPTATION IN HIGH FREQUENCY EEG Anna Buttfield1, Pierre W. Ferrez1 and Jos´e del R. Mill´an1 1IDIAP Research Institute, Rue du Simplon 4, 1920 Martigny, Switzerland. E-mail: anna.buttfi[email protected] SUMMARY: In recent years a number of non-invasive Brain-Computer Interfaces have been de-

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High Efficiency High Frequency Spiral Classifier

Concentrate Thickeners Gold Extraction High Frequency. Concentrate thickeners mineral processing high frequency high quality high frequency screen for ore concentrate offers 386 gold classifier screen products about 45 of these are vibrating screen, 38 are mineral separator, and 1 are steel wire mesh a wide variety of gold classifier screen options are available to you, such as gravity separator

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Ore Classifier High Frequency Vibrating Screen

2021-4-14  High Efficiency And Energy Saved Vibrating Screen. Jun 26 2020 china energy saving fertilizer vibrating rotex screen classifier energy saving fertilizer vibrating rotex screen classifier brief introduction gyratory screen is a type of high efficiency mechanical sieving equipment which isenergysaving ultrawide multilayer balanced elliptical shale shaker23 jan 2019 the energy saving

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High Frequency Vibration Screen—Forui Machinery

2020-7-27  High Frequency Vibration Screen . Introduction: The high-frequency vibrating screen stainless steel sieve, used in fine grain materials, according to the grade,adjust sieve inclination angle, need level adjustment of inclination of sieve surface, close to 55 °,the fineness can reach -300 mesh, account for 75% or so.

Get Price

spiral classifier vsi5 crusher high frequency screen

spiral classifier vsi5 crusher high frequency screen High Frequency Vibration Screen—Forui Machinery High Frequency Vibration Screen Introduction: The highfrequency vibrating screen stainless steel sieve, used in fine grain materials, according to the grade,adjust sieve inclination angle, need level adjustment of inclination of sieve surface ...

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Development of High Accuracy Classifier for the

2021-5-20  Development of High Accuracy Classifier for the Speaker Recognition System. Raghad Tariq Al-Hassani,1,2 Dogu Cagdas Atilla,1 and Çağatay Aydin1. 1Faculty of Engineering, Altinbas University, Istanbul 34676, Turkey. 2Ministry of Higher Education and Scientific Research in

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OSA Super-resolution optical classifier with high

We propose and demonstrate a photon-efficient optical classifier to overcome the Rayleigh limit in spatial resolution. It utilizes mode-selective sum-frequency generation and single-pixel photon detection to resolve closely spaced incoherent sources based on photon counting statistics. Super-resolving and photon efficient, this technique can find applications in microscopy, light detection and ...

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Supervised Learning for Document Classification with ...

This means that the classifier now has a set of features via the frequency of token occurance. In addition the document token-vector represents a sample for the classifier. In essence, the entire corpus can be represented as a large matrix, each row of which

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Evaluation of text classification - Stanford University

2009-4-8  But as we discussed in Section 8.3, accuracy is not a good measure for ``small'' classes because always saying no, a strategy that defeats the purpose of building a classifier, will achieve high accuracy. The always-no classifier is 99% accurate for a class with relative frequency

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Perbandingan Seleksi Fitur Term Frequency Tri-Gram ...

that mendaptkan high accuracy values. One of the classifier and feature selection algorithms are Naive Bayes classifier (NBC) with Tri-Gram feature selection Character Term-Frequency which previous research has resulted in a fairly high accuracy. The

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