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[Industry research] bag of feature 介绍 DL : 0: bag of feature 发展现状的介绍，北卡课程
Date : 2010-10-15 Size : 2.71mb User : zhangdd1@163.com
[Industry research] c DL : 0: 在综合描述声发射信号特点和小波殳换基本原理的基础上，结合实例介绍同时在时域和频域具有局部分析能力的信号处理方法--小波变换在声发射信号的特征提取、时频分析和噪声去除等方面的应用。-Described in the integrated acoustic emission signal characteristics and the basic principles of wavelet Shu-for on the basis of the introduction with an example in the time domain and frequency domain with the capacity of local analysis of wavelet transform signal processing method of acoustic emission signals in the feature extraction, time-frequency analysis and noise Removal of such applications.
Date : 2026-01-09 Size : 225kb User : 康康
[Industry research] MFCCcanshu DL : 0: 6篇有关语音识别特征参数的科技论文，主要包括MFCC参数LPCC参数以及小波应用于特征提取的研究-6 on the speech recognition feature parameters of scientific papers, including MFCC parameters LPCC parameters and wavelet feature extraction applied to the study
Date : 2026-01-09 Size : 843kb User : 刘雅琴
[Industry research] Gradient_Feature_Selection_for_Online_Boosting DL : 0: 关于on-line boosting的gradient feature selection的介绍-With regard to on-line boosting the introduction of gradient feature selection
Date : 2026-01-09 Size : 840kb User : gujiazation
[Industry research] face DL : 0: 实现人脸特征点的定位的论文，希望对大家有所帮助。-Facial feature points to achieve the positioning of the thesis, I hope all of you to help.
Date : 2026-01-09 Size : 650kb User : lihongsheng
[Industry research] Introduction_to_the_chain_code DL : 0: this document describes in details the freeman s chain code algorithm in regards to using for feature extraction in an OCR Application it also describes all the necessary phases to develop an ocr
Date : 2026-01-09 Size : 342kb User : hussein
[Industry research] KernelBasedObjectTracking DL : 0: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking.
Date : 2026-01-09 Size : 2.35mb User : Ali
[Industry research] mmsp08 DL : 0: Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods and spectral methods. However, most of them are not able to accurately capture the edge information which is the most important texture feature in an image. Recent researches on multi-scale analysis, especially the curvelet research, provide good opportunity to extract more accurate texture feature for image retrieval. Curvelet was originally proposed for image denoising and has shown promising performance. In this paper, a new image feature based on curvelet transform has been proposed. We apply discrete curvelet transform on texture images and compute the low order statistics from the transformed images. Images are then represented using the extracted texture features. Retrieval results show, it significantly outperforms the widely used Gabor texture feature.
Date : 2026-01-09 Size : 1.36mb User : Swati
[Industry research] klt DL : 0: KLT feature extraction and tracking
Date : 2026-01-09 Size : 829kb User : djalex
[Industry research] MPSKQAM DL : 0: 本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。-This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope signals OQPSK, or/4 QPSK, MSK modulation recognition of this disclosure. Abalone species in the basic modulation recognition method that is based on feature extraction methods and maximum likelihood methods based on the Article on the foundation of four algorithms to identify each of these signals.
Date : 2026-01-09 Size : 2.17mb User : klq
[Industry research] Output DL : 0: a complete paper GA based feature selection
Date : 2026-01-09 Size : 1.04mb User : raju
[Industry research] speech-recognition-as-feature-extraction-for-spea DL : 0: Speech Recognition as feature extraction in speaker recognition system
Date : 2026-01-09 Size : 95kb User : Ahmed Ezz
[Industry research] iris-and-fingerprint-feature-fusion DL : 0: iris and fingerprint feature fusion
Date : 2026-01-09 Size : 670kb User : an
[Industry research] feature-extractions DL : 0: brief detail about feature extraction on fingerprint
Date : 2026-01-09 Size : 282kb User : Kannan
[Industry research] Amazon-Kindle-key-feature DL : 0: Amazon Kindle key feature
Date : 2026-01-09 Size : 439kb User : draw
[Industry research] Feature-Extraction-From-Protein-Seq DL : 0: feature extraction from acid amine sequence
Date : 2026-01-09 Size : 1006kb User : azizoo
[Industry research] Feature-detection-(computer-vision)---Wikipedia-- DL : 0: feature detection methods from wikipedia
Date : 2026-01-09 Size : 54kb User : s
[Industry research] Palmprint-Feature-Extraction DL : 0: 掌纹特征提取的参考文献，这些文献都是经常被引用的文献，讲解了几种不同的特征提取方法-Palmprint Feature extraction reference, these documents are often quoted in the literature, the extraction method to explain the different characteristics
Date : 2026-01-09 Size : 9.1mb User : 彭欣荣
[Industry research] Wallerius_HCI_2005_Robust-Feature-Extraction DL : 0: Feature Extraction from EEG
Date : 2026-01-09 Size : 161kb User : zeynab mohammadi
[Industry research] Feature-Centric DL : 0: Feature-Centric Evaluation for Efficient Cascaded Object Detection
Date : 2026-01-09 Size : 347kb User : arun

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