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A Framework for Segmentation
- new mathematical and algorithmic framework for unsupervised image segmentation, which is a critical step in a wide variety of image processing applications. We have found that most existing segmentation methods are not successful on histopathology im
DCS
- this for unsupervised clustering again
lda-c
- LDA是一种文档主题生成模型，也称为一个三层贝叶斯概率模型，包含词、主题和文档三层结构。文档到主题服从Dirichlet分布，主题到词服从多项式分布。 LDA是一种非监督机器学习技术，可以用来识别大规模文档集（document collection）或语料库（corpus）中潜藏的主题信息。它采用了词袋（bag of words）的方法，这种方法将每一篇文档视为一个词频向量，从而将文本信息转化为了易于建模的数字信息。但是词袋方法没有考虑词与词之间的顺序，这简化了问题的复杂性，同时也为
4Statistical-pattern-recognition
- The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
PMl-IR
- Blog信息源和信息量的广泛增长给中文文本分类带来了新的挑战。本文提出了—种基于PMI—IR算法的四种情感分类方法来对Blog文本进行情感分类。该方法以情感词语为中心，通过搜索引擎返回的结果来计算文本 中的情感要素和背景情感词之问的点互信息值，从而对文本进行情感分类。该方法在国家语言资源监测与研究中心网络媒体语言分中-心2008年度的Blog语料和COAE2008的语料上分别进行了测试。与传统方法相比准确率和召回率都有了较大的提高。-Development ofBIog texts info
NMF
- 非负矩阵分解，可以用于语音分离等，参考文献：N. Mohammadiha, P. Smaragdis and A. Leijon, “Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization,” IEEE Trans. Audio, Speech, and Language Process., vol. 21, no. 10, pp. 2140–2151, oct. 2013
remotesensing-classificaiton
- 实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for
k_means
- 经典的k均值聚类算法，用于无监督学习和数据分类，广泛应用于数据处理和模式识别领域-Classical k-means clustering algorithm for unsupervised learning and data classification, widely used in data processing and pattern recognition
kMeans
- 机器学习算法，无监督学习，利用k均值聚类算法对未标注数据分组-Machine learning algorithms, unsupervised learning, the use of k-means clustering algorithm for unlabeled data packets
Kmean
- 基于改进的kmean的非监督分类，实现全自动的遥感图像分类-Based on Improved kmean unsupervised classification, to achieve automatic remote sensing image classification
output.pdf.tar
- supervised versus unsupervised method
somtoolbox
- 自组织特征映射神经网络是一类无导师学习的神经网络模型可用于聚类分析-Self-organizing neural network is a kind of unsupervised learning neural network model can be used for cluster analysis
som-master
- it an application for sel organizing map or kohonen in c # a cluster unsupervised-it an application for sel organizing map or kohonen in c # a cluster unsupervised
fourierica
- FourierICA是一种无监管的自适应学习方法，用于盲源分离问题，将短时傅里叶变换STFT与独立分量分析ICA相结合。-FourierICA is an unsupervised learning method suitable for the analysis of bss.The method performs independent component analysis(ICA) on short-time Fourier transforms of the data.
medical-super
- This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained result
A7
- Global and local methods of unsupervised Byesian segmentation of images
kmeansfromlightfast
- unsupervised kmeans clusetring algorithm of data
paper4
- Provable Learning of Overcomplete Latent Variable Models Semi-supervised and Unsupervised Settings
paper5
- Unsupervised Feature Learning for RGB Image Classication
paper1
- Building high-level features using large-scale unsupervised learning