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Object-Recognition-via-Sparse-PCA 利用稀疏主分量分析实现目标识别中的特征提取
- 利用稀疏主分量分析实现目标识别中的特征提取，包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA
Gradient_Feature_Selection_for
- 关于on-line boosting的gradient feature selection的介绍,With regard to on-line boosting the introduction of gradient feature selection
mRMR_0.9_compiled
- Hanchuan Peng, Fuhui Long, and Chris Ding, "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 8,
CAGA_O_F
- 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
paper2
- 语音识别技术主要包括特征提取技术、模式匹配准则及模型训练技术三个方面。此外，还涉及到语音识别单元的选取。选择识别单元是语音识别研究的第一步。语音识别单元有单词（句）、音节和音素三种，具体选择哪一种，由具体的研究任务决定。-Speech recognition technology, including feature extraction techniques, pattern-matching criteria and the three aspects of model training t
MUC_DATA_SHEET
- C8051F340/1/2/3/4/5/6/7 devices are fully integrated mixed-signal System-on-a-Chip MCUs. Highlighted features are listed below. Refer to Table 1.1 for specific product feature selection
ARAC
- 语音识别中的语音信号特征提取和选择是关系到语音识别模型性能的一个重要问题。音信号的特征提取是解决时域信号的数字表问题，特征选择则是在多个特征中选择有的特征为后继的模式划分部分提供数据。-Speech recognition in speech signal feature extraction and selection in relation to the performance of speech recognition model of an important issue. Audio
safeatureselectionpaper
- 模拟退火算法进行特征选择和参数优化的经典论文-Simulated annealing algorithm for feature selection and parameter optimization of the classic papers
8080524
- 基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
Output
- a complete paper GA based feature selection
a
- SVM 特征选取的c代码，训练正负两类样本快速提取-C code for SVM feature selection, training, rapid extraction of the two kinds of positive and negative
invariant-optimal-feature-selection
- invariant optimal feature selection
Self-adaptive-evolution-feature
- 2013 Self-adaptive differential evolution for feature selection in hyperspectral image data
data-mining-feature-selection-method
- 数据挖掘论文面向高维数据挖掘的特征选择方法研究，感觉挺不错，分享一下-Data mining papers for high-dimensional data mining feature selection method, I feel very good to share
feature-selection
- 对特征选择与提取进行介绍，及几个特征提取方法简介-For feature selection and extraction are introduced, and several feature extraction methods Introduction
ORDINAL-FEATURE-ANALYSIS
- 本文讨论了故障严重程度识别中的特征评价和特征选择算法。将严重程度识别问题中的特征分为非单调特征和单调特征，分别设计了不同的特征评价指标和特征选择算法，为故障严重程度识别提供了可行的方案。-This article discusses the failure to identify the severity of the feature in the comments and feature selection algorithms. The severity of the problem of
Feature-Selection-on-Classification-of-Medical-Da
- Feature Selection on Classification of Medical Datasets based on Particle Swarm Optimization
feature-selcetion
- 多变量评估系统的变量选择问题-变量选择介绍-An Introduction to Variable and Feature Selection
pca-feature-sel
- tHIS FILE DESCRIBES THE FEATURE SELECTION TECHNIQUE FOR MAMMOGRAM FEATURES