Software MPEG-7 Feature Extraction Library : This library is adapted from MPEG-7 XM Reference Software to make it work with Open Source Computer Vision library (OpenCV) data structures (e.g., IplImage, Mat). It has a very easy-to-use API. Moreover, e…
Feature Engineering versus Feature Extraction: Game On! "Feature engineering" is a fancy term for making sure that your predictors are encoded in the model in a manner that makes it as easy as possible for the model to achieve good performance.…
Yang, Mingqiang, Kidiyo Kpalma, and Joseph Ronsin. "A survey of shape feature extraction techniques." (2008): 43-90. 转载请注明 黄世宇:http://www.cnblogs.com/huangshiyu13/p/6432647.html. 1.介绍 "一张图片需要很多文字进行描述",这个谚语来自孔子-一个中国大约2500年前的哲学家.现在,这些文字的…
http://scikit-learn.org/stable/modules/feature_extraction.html 带病在网吧里. ..... 写.求支持. .. 1.首先澄清两个概念:特征提取和特征选择( Feature extraction is very different from Feature selection ). the former consists in transforming arbitrary data, such as text or images, in…
论文题目<Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks> 论文作者:Y ushi Chen, Member , IEEE, Hanlu Jiang, Chunyang Li, Xiuping Jia, Senior Member , IEEE, and Pedram Ghamisi, Member , IEEE 论文发表年份:20…
http://scikit-learn.org/stable/modules/feature_extraction.html 4.2节内容太多,因此将文本特征提取单独作为一块. 1.the bag of words representation 将raw data表示成长度固定的数字特征向量,scikit-learn提供了三个方式: tokenizing:给每个token(字.词.粒度自己把握)一个整数索引id counting:每一个token在每一个文档中出现的次数 normalizing:…
假设有一段文本:"I have a cat, his name is Huzihu. Huzihu is really cute and friendly. We are good friends." 那么怎么提取这段文本的特征呢? 一个简单的方法就是使用词袋模型(bag of words model).选定文本内一定的词放入词袋,统计词袋内所有词在文本中出现的次数(忽略语法和单词出现的顺序),将其用向量的形式表示出来. 词频统计可以用scikit-learn的CountVectori…
假设有一段文本:"I have a cat, his name is Huzihu. Huzihu is really cute and friendly. We are good friends." 那么怎么提取这段文本的特征呢? 一个简单的方法就是使用词袋模型(bag of words model).选定文本内一定的词放入词袋,统计词袋内所有词在文本中出现的次数(忽略语法和单词出现的顺序),将其用向量的形式表示出来. 词频统计可以用scikit-learn的CountVectori…
InfoGAN 期望的是 input 的每一个维度都能表示输出数据的某种特征.但实际改变输入的一个特定维度取值,很难发现输出数据随之改变的规律. InfoGAN 就是想解决这个问题.在 GAN 结构以外,把输入 z 分成两个部分 c 和 z' ,然后根据 generated data x 来预测给到 generator 的 c 是什么,这里的ae 做的事情是 code-x-code.同时还需要 discriminator 来配合,x 还必须要足够像目标数据(要不 generator 直接把 c…
This past summer I interned at Flipboard in Palo Alto, California. I worked on machine learning based problems, one of which was Image Upscaling. This post will show some preliminary results, discuss our model and its possible applications to Flipboa…
An Intuitive Explanation of Convolutional Neural Networks https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ Posted on August 11, 2016 by ujjwalkarn What are Convolutional Neural Networks and why are they important? Convolutional Neural…
Deep Learning 教程翻译 非常激动地宣告,Stanford 教授 Andrew Ng 的 Deep Learning 教程,于今日,2013年4月8日,全部翻译成中文.这是中国屌丝军团,从2月20日战役打响之日,经过 50 天的团结奋战,取得的全面彻底的胜利. 此次战役的巨大胜利,之所以令人激动,有三方面的原因. 1. 在 Stanford 网站这个规模不算大,但是行业影响可观的舞台上,彰显了中国屌丝们,旺盛的求战热情,迅猛顽强的战斗作风,训练有素的战术技能. 2. 在…
Image Scaling using Deep Convolutional Neural Networks This past summer I interned at Flipboard in Palo Alto, California. I worked on machine learning based problems, one of which was Image Upscaling. This post will show some preliminary results, dis…
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ An Intuitive Explanation of Convolutional Neural Networks Posted on August 11, 2016 by ujjwalkarn What are Convolutional Neural Networks and why are they important? Convolutional Neural…
An Intuitive Explanation of Convolutional Neural Networks 原文地址:https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/comment-page-4/?unapproved=31867&moderation-hash=1ac28e426bc9919dc1a295563f9c60ae#comment-31867 一.什么是卷积神经网络.为什么卷积神经网络很重要? 卷…
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space 2018-01-04 15:58:15 写在前面:为什么要看这个paper?这篇 paper 貌似是第一个将 meta-learning 应用到 visual tracking 领域的,取得了速度和精度较好的平衡. Introduction: 我们知道,tracking 中比较重要的就是 target object…