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Classification_of_Age_Groups
- An age group classification system for gray-scale facial images is proposed in this paper. Four age groups, including babies, young adults, middle-aged adults, and old adults, are used in the classification system.
Moving_Target_Classification_and_Tracking_from_Rea
- 这是一篇有关运动目标分类的英文文献。这篇文献以离散度作为分类特征，利用时间一致性，提高了分类性能。内容也不是很深奥，相信对初学者有较大的帮助。-This is an article on the classification of moving targets in English literature. This dispersion in the literature as the classification features, use of time consistency, impro
Ways_intersection_Vehicle_Classification
- 江苏大学计算机科学与通信工程学院. 李庆华 李峰 陆郡. 《一种基于支持矢量机的交叉路口车型分类方法及流量参数的提取》-Jiangsu University of Computer Science and Communication Engineering Institute. Lee Ching-hua Li Feng land County. " Based on support vector machine classification of crossroads and tr
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Tracking_and_classifying_moving_objects_from_video
- Q. Zhou, J.K. Aggarwal. Tracking and Classifying Moving Objects from Video. 这篇文章另辟蹊径，利用“紧凑度值的变化、运动方向的变化”，区分人、人群、机动车。达到良好的分类效果。是运动目标分类领域的好文章。-Q. Zhou, JK Aggarwal. Tracking and Classifying Moving Objects from Video. This article open a new path, by us
Object_Classification_and_Tracking_in_Video_Survei
- Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj
Gaussian_Mixture_Models_and_Probabilistic_Decisio
- very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classificatio
0514002
- 排样问题的应用范围非常广泛, 本文从其应用领域、整体描述、名称、分类、求解难度 等方面做了分析综述。 -Layout of application issues a very wide range of applications in this article from the overall descr iption, name, classification, and so on to solve the difficulty of synthesis were analyzed.
cr1122
- this file about CLASSIFICATION OF CHAOTIC SIGNALS USING HMM CLASSIFIERS: EEG-BASED MENTAL TASK CLASSIFICATION
QAM64_20_5_rcosine_prbs_4096
- this a QAM64 captured signal for those who wants to check their algorithm for modulation classification and symbol rate estimation symbol rate used 1Mbps fs=20 or 40 MSPs and fc=5 MSPS-this is a QAM64 captured signal for those who wants to check thei
ant-colony-for-the-classification
- applet ant colony classification-applet ant colony classification
Eigenface-and-SIFT-For-Face-Classification
- gender classification research
the-Chinese-Library-Classification
- 中国图书分类法是中国图书馆研发的一款用于图书文档分类的软件，此说明是使用这个软件良好的参考书。-The electronic version of the Chinese Library Classification in France use a detailed descr iption is an essential learning tool for use in France
unsupervised-classification
- Clustering and Unsupervised Classification
Rule-based-classification-
- This paper presents a rule-based approach for the classification of power quality disturbances. The disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature extraction tool. Then, a simple but robust
SAR-Image-Classification
- 基于商空间粒度计算的SAR图像分类方法研究-SAR Image Classification Based on Granularity Computing of Quotient Space Theory
Hyperspectral-Image-Classification-Through-Bilaye
- Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n
[28]-Classification-of-marble-surfaces-using-wave
- Classification of marble surfaces using wavelets
Classification-of-interference-in-slow-frequency-
- Abstract—In slow frequency hopping systems, it is critical to detect, classify, and mitigate interference, as it degrades the system performance. Generalized likelihood ratio test algorithm was proposed for the detection of interference. Howeve
Feature-Selection-on-Classification-of-Medical-Da
- Feature Selection on Classification of Medical Datasets based on Particle Swarm Optimization