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Classifier Cascade For Mining:

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

2020-8-23 · 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, which ensures widespread applicability for inferences ...

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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 the probability class distribution of the initial data.

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classifier cascade for mining - schroniskogoldap.pl

Therefore, a cascade mining algorithm was proposed, which consisted of one cascade classifier operator and three mining components, including jamming mining component, Bopomofo mining component and complicated characters mining component. After mined with the three components, the temporary mining result of a Web page would be dealt with the ...

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Pedestrian Detection via Combined Cascades

2019-8-8 · Figure 3: Combined cascade classifier First, we use soft cascade classifier on the multi-scale im-age features to filter out background regions of an image. ans and 453 images without any pedestrian.In this stage, we don’t need a long cascade stage any more. Only a few weak classifier in soft cascade is enough. As experi-

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Questions - OpenCV Q&A Forum

How to do hard negative mining for cascade classifier? cascade. hardNegativeMining. 225. views no. answers 2. votes 2019-11-28 10:27:13 -0500 Elis4. How to use dnn as a detector for facemark ? c++. opencv. face. dnn. Facemark. cascade. 136. views 1. answer no ...

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目标检测-20种常用深度学习算法论文、复现代码汇总 - Sohu

2019-3-11 · Learning Chained Deep Features and Classifiers for Cascade in Object Detection · keykwords: CC-Net · intro: chained cascade network (CC-Net). 81.1% mAP on PASCAL VOC 2007

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hard example mining(困难样本挖掘)_硝烟_1994的博客 ...

2021-3-28 · 实验结果表明使用OHEM(Online Hard Example Mining)机制可以使得Fast R-CNN算法在VOC2007和VOC2012上mAP提高 4%左右。. 即:训练的时候选择hard negative来进行迭代,从而提高训练的效果。. 简单来说就是从ROI中选择hard,而不是简单的采样。. Forward: 全部的ROI通过网络,根

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人脸检测-Haar分类器方法_皮皮blog-CSDN博客

2014-10-18 · 浅析人脸检测之Haar分类器方法一、Haar分类器的前世今生 人脸检测属于计算机视觉的范畴,早期人们的主要研究方向是人脸识别,即根据人脸来识别人物的身份,后来在复杂背景下的人脸检测需求越来越大,人脸检测也逐渐作为一个单独的研究

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基于深度神经网络的人脸识别校园门禁系统设计与实现 - 豆丁网

2020-8-7 · 2015 年,Google CNN网络结构的基础上,使用triplet mining 的采样方法,设计出FaceNet [14] 网络 结构,在LFW数据集上准确率再一次提升,达到了99.63%,同时在更为复杂的 youtube 人脸视频集上正确率达到了95.12%。

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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,

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(PDF) Cascading an Emerging Pattern Based Classifier

Experimental results show that our cascade attains higher accuracy than other state-of-the-art classifiers, including one of the most accurate emerging pattern based classifier.

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Cascade network for detection of coal and gangue in the ...

2021-1-2 · Abstract. Online detection of coal and gangue is the key to intelligent separation of coal and gangue which is significant for improving coal mining efficiency and deducing environmental pollution. To improve the detection of coal and gangue under complex conditions, we proposed a cascade network that consists of detector and discriminator.

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(PDF) Training Effective Node Classifiers for Cascade ...

2013-1-10 · namic cascade (Xiao et al. 2007), the AND-OR cascade (Dundar and Bi 2007 ), the multi-exit cascade (Pham et al. 2008 ), the joint cascade (Lefakis and Fleuret 2010 )

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Project 4: Face detection with a sliding window

2011-11-10 · The cascade architecture is also an elegant way to mine hard negatives. Not surprisingly, the pipelines are complementary. Using the strong classifiers and strong features together will result in better performance. Common to all three of the

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Pedestrian Detection via Combined Cascades

2019-8-8 · Figure 3: Combined cascade classifier First, we use soft cascade classifier on the multi-scale im-age features to filter out background regions of an image. ans and 453 images without any pedestrian.In this stage, we don’t need a long cascade stage any more. Only a few weak classifier in soft cascade is enough. As experi-

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Jianxin Wu's Publication - nju.edu.cn

2021-11-15 · In: Proc. The IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China, Dec. 2006, pp. 965-969. [C.4] Linear Asymmetric Classifier for Cascade Detectors [pdf][project page with source code] Jianxin Wu, Matthew D. Mullin, and James M

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OpenCV-object-detection-tutorial by JohnAllen

2016-4-6 · Train the cascade; Test your cascade.xml file; Installing OpenCV on Linux/Ubuntu. I mentioned that the training can take a long time. It can actually take weeks, I've read. I strongly recommend you use a remote server to train your cascade. Here are two reason why: one, it will speed up the training immensely (mine took only 18 minutes); and ...

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目标检测-20种常用深度学习算法论文、复现代码汇总 - Sohu

2019-3-11 · Learning Chained Deep Features and Classifiers for Cascade in Object Detection · keykwords: CC-Net · intro: chained cascade network (CC-Net). 81.1% mAP on PASCAL VOC 2007

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[论文阅读] Joint Face Detection and Alignment using Multi ...

2017-11-18 · 5) Online Hard sample mining。 与传统的hard sample mining after original classifier had been trained不同,我们在人脸分类中采用在线的hard sample mining来自适应训练。 在每个mini-batch中,我们从所有样本的前向传播中将计算得到的loss排序,然后只取其中loss最高的前70%作

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[论文阅读] Joint Face Detection and Alignment using Multi ...

2017-11-18 · 5) Online Hard sample mining。 与传统的hard sample mining after original classifier had been trained不同,我们在人脸分类中采用在线的hard sample mining来自适应训练。 在每个mini-batch中,我们从所有样本的前向传播中将计算得到的loss排序,然后只取其中loss最高的前70%作

Read More
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,

Read More
(PDF) Cascading an Emerging Pattern Based Classifier

Experimental results show that our cascade attains higher accuracy than other state-of-the-art classifiers, including one of the most accurate emerging pattern based classifier.

Read More
(PDF) Training Effective Node Classifiers for Cascade ...

2013-1-10 · namic cascade (Xiao et al. 2007), the AND-OR cascade (Dundar and Bi 2007 ), the multi-exit cascade (Pham et al. 2008 ), the joint cascade (Lefakis and Fleuret 2010 )

Read More
Cascade network for detection of coal and gangue in the ...

2021-1-2 · Abstract. Online detection of coal and gangue is the key to intelligent separation of coal and gangue which is significant for improving coal mining efficiency and deducing environmental pollution. To improve the detection of coal and gangue under complex conditions, we proposed a cascade network that consists of detector and discriminator.

Read More
FloatCascade Learning for Fast Imbalanced Web Mining

2008-4-10 · 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 called FloatCascade to improve the accuracy. Compared with AsyCascade, FloatCascade can select fewer but more effective features at each stage of the cascade classifier.

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OpenCV-object-detection-tutorial by JohnAllen

2016-4-6 · Train the cascade; Test your cascade.xml file; Installing OpenCV on Linux/Ubuntu. I mentioned that the training can take a long time. It can actually take weeks, I've read. I strongly recommend you use a remote server to train your cascade. Here are two reason why: one, it will speed up the training immensely (mine took only 18 minutes); and ...

Read More
Jianxin Wu's Publication - nju.edu.cn

2021-11-15 · In: Proc. The IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China, Dec. 2006, pp. 965-969. [C.4] Linear Asymmetric Classifier for Cascade Detectors [pdf][project page with source code] Jianxin Wu, Matthew D. Mullin, and James M

Read More
A Face Detection Method Based on Cascade Convolutional ...

2019-1-4 · Cascade has been widely used in face detection where classifier with low computational cost can be firstly used to shrink most of the background while keeping the recall. In this paper, a new cascaded convolutional neural network method consisting of two main steps is proposed. During the first stage, low-pixel candidate window is used as an input such that the shallow convolutional neural ...

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Learning Tree-Structured Detection Cascades for ...

Leonidas Lefakis and Franccois Fleuret 2010. Joint cascade optimization using a product of boosted classifiers Advances in Neural Information Processing Systems. 1315--1323. Google Scholar; Inbal Nahum-Shani, Shawna N Smith, Ambuj Tewari, Katie Witkiewitz, Linda M Collins, Bonnie Spring, and S

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