classifier cascade for mining

classifier cascade for mining

Cascade-LSTM: A Tree-Structured Neural Classifier for ...

2021-9-9  Altogether, our Cascade-LSTM entails important implications: (1) it presents the first neural classifier that learns the complete cascade. (2) It demonstrates a

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How to do hard negative mining for cascade classifier ...

2019-11-28  Hi I want to do hard negative mining for my trained cascade classifier. In other words, I want to add false positives to the list of negative images and re-train

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A Cascade Mining Algorithm Based on Chinese Keywords

To filter these few but purposively or malicious Web pages the first thing is the classifier design. Therefore, a cascade mining algorithm was proposed, which

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FloatCascade Learning for Fast Imbalanced Web Mining

2020-1-12  In this paper, we adopt the idea of cascade classifier in imbalanced web mining for fast classification, and propose a new asymmetric cascade learning method

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A Semisupervised Cascade Classification Algorithm

A novel approach for increasing semisupervised classification using Cascade Classifier technique is presented in this paper. The main characteristic of Cascade

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Mining subcascade features for cascade outbreak

2016-7-29  In this paper, we propose to use subcascades as features for cascade outbreak prediction. We use frequent sequential pattern mining to extract subcascades and then

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Learning Chained Deep Features and Classifiers for

2017-2-23  Learning Chained Deep Features and Classifiers for Cascade in Object Detection. 02/23/2017 ∙ by Wanli Ouyang, et al. ∙ The Chinese University of Hong Kong ∙ 0 ∙ share

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Training Effective Node Classifiers for Cascade ...

2013-1-24  Thus the \( n \)-th node classifier uses the results of the weak classifiers associated with node \(n\), but also those associated with the previous \(n-1\) node

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A self-adaptive cascade ConvNets model based on label ...

2019-2-7  In this paper we have proposed a CRL-supervised 3WD cascade model (CRL-CM). By mining label relation from the confusion matrix, we learn a set of expert

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目标检测论文(尤其针对一些小目标的可能改进方法)_张家坎 ...

2018-11-12  目标检测:一种填鸭式数据增强方法,针对小目标 写该文的原因:虽然有其他博主也写有该数据增强方法,但是代码在运行时有一些bug没有说明,于是我重新从github上下载了代码并进行了修改,使之更易看懂和运行。代码的操作步骤如下: 原图片的jpg文件 和 xml标签文件 分开放置 该代码每次只能对 ...

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Cascade-LSTM: A Tree-Structured Neural Classifier for ...

Altogether, our Cascade-LSTM entails important implications: (1) it presents the first neural classifier that learns the complete cascade. (2) It demonstrates a promising approach to practitioners for detecting misinformation through mining retweet behavior. (3) The model is fairly general,

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Mining subcascade features for cascade outbreak

In this paper, we propose to use subcascades as features for cascade outbreak prediction. We use frequent sequential pattern mining to extract subcascades and then propose a max-margin based classifier to select at most B features for prediction. The proposed model is empirically evaluated on both synthetic and

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Floatcascade learning for fast imbalanced web mining ...

In this paper, we adopt the idea of cascade classifier in imbalanced web mining for fast classification and propose a novel asymmetric cascade learning method called FloatCascade to improve the ...

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CASCADE REGION PROPOSAL NETWORKS FOR OBJECT

2019-4-2  cascade framework consists of multiple region proposal networks, referred to as C-RPNs. While training and testing, C-RPNs are adopted to mine hard samples and learn stronger classifiers. Multi-stage classifiers at early stages discard most of easy samples so that classifiers at latter stages focus on handling harder samples. Also,

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The Cascade Decision-Tree Improvement Algorithm Based

Download Citation The Cascade Decision-Tree Improvement Algorithm Based on Unbalanced Data Set In the past research, the data mining that using single classifier can not obtain satisfactory ...

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A cascade of classifiers for extracting medication ...

2017-3-23  A cascade of classifiers for extracting medication information from discharge summaries Scott Russell Halgrim1*, Fei Xia1, Imre Solti2, Eithon Cadag1, Özlem Uzuner3 From Second Louhi Workshop on Text and Data Mining of Health Documents Los Angeles, CA, USA. * Correspondence: [email protected] edu 1University of Washington, PO Box 543450, Seattle, WA ...

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Training Effective Node Classifiers for Cascade ...

2013-1-24  Thus the \( n \)-th node classifier uses the results of the weak classifiers associated with node \(n\), but also those associated with the previous \(n-1\) node classifiers in the cascade. We show below that LAC post-processing can enhance the multi-exit cascade, and that the multi-exit cascade more accurately fulfills the LAC requirement that ...

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A NOVEL SELF CONSTRUCTING OPTI MIZED CASCADE

2018-6-16  A NOVEL SELF CONSTRUCTING OPTI MIZED ± CASCADE CLASSIFIER WITH AN IMPROVISED NAÏVE BAYES FOR ANALYZING EXAMINATION RESULTS 1* J. Macklin Abraham Navamani ,2A.Kannammal, 2S.Ramkumar 1Department of Computer Applications, Karunya University, Coimbator e, India 2Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, India

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Cascade Classifiers for Hierarchical Decision Systems ...

These sub-systems are used for training new classifiers at all granularity levels of its decision attribute. Next, we split each sub-system further by sub-values of its decision value. The obtained tree-structure with groups of classifiers assigned to each of its nodes is called a cascade classifier.

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Big Data Classification Using the SVM Classifiers with the ...

2017-5-5  The SVM classifier is used for training, testing, and classification. Satisfactory quality of training and testing allows using the resulting SVM classifier in the classification of new objects. Fig. 1. with the compLinear separation for two classes by the SVM classifier in the 2D space

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A Semisupervised Cascade Classification Algorithm

A novel approach for increasing semisupervised classification using Cascade Classifier technique is presented in this paper. The main characteristic of Cascade Classifier strategy is the use of a base classifier for increasing the feature space by adding either the predicted class or

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Mining subcascade features for cascade outbreak

In this paper, we propose to use subcascades as features for cascade outbreak prediction. We use frequent sequential pattern mining to extract subcascades and then propose a max-margin based classifier to select at most B features for prediction. The proposed model is empirically evaluated on both synthetic and

More

The Cascade Decision-Tree Improvement Algorithm Based

2010-4-14  The Cascade Decision-Tree Improvement Algorithm Based on Unbalanced Data Set Abstract: In the past research, the data mining that using single classifier can not obtain satisfactory results. This paper proposed an improved decision-tree classification algorithm

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A cascade of classifiers for extracting medication ...

2017-3-23  A cascade of classifiers for extracting medication information from discharge summaries Scott Russell Halgrim1*, Fei Xia1, Imre Solti2, Eithon Cadag1, Özlem Uzuner3 From Second Louhi Workshop on Text and Data Mining of Health Documents Los Angeles, CA, USA. * Correspondence: [email protected] edu 1University of Washington, PO Box 543450, Seattle, WA ...

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A NOVEL SELF CONSTRUCTING OPTI MIZED CASCADE

2018-6-16  A NOVEL SELF CONSTRUCTING OPTI MIZED ± CASCADE CLASSIFIER WITH AN IMPROVISED NAÏVE BAYES FOR ANALYZING EXAMINATION RESULTS 1* J. Macklin Abraham Navamani ,2A.Kannammal, 2S.Ramkumar 1Department of Computer Applications, Karunya University, Coimbator e, India 2Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, India

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Hand Detection Using Cascade of Softmax Classifiers

The flowchart of window image classification using softmax-based cascade classifier. 3.3. Multiresolution HOG Feature for Different Stage-Classifiers. For sliding-window-based hand detection, there are tens of thousands window images to be classified in single frame, which makes the detection system lack efficiency.

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(PDF) Implementation of Haar Cascade Classifier and Eye ...

Implementation of Haar Cascade Classifier and Eye Aspect Ratio for Driver Drowsiness Detection Using Raspberry Pi. ... transportation and mining industries. In manufacturing, physical fatigue is a ...

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Big Data Classification Using the SVM Classifiers with the ...

2017-5-5  The SVM classifier is used for training, testing, and classification. Satisfactory quality of training and testing allows using the resulting SVM classifier in the classification of new objects. Fig. 1. with the compLinear separation for two classes by the SVM classifier in the 2D space

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Weka 3 - Data Mining with Open Source Machine Learning ...

Weka 3: Machine Learning Software in Java. Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is

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classifier GitHub Topics GitHub

2021-8-25  Star 173. Code Issues Pull requests. Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification.

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