نتایج جستجو برای: dictionary learning

تعداد نتایج: 617273  

2009
Weishi Zhang Kai Zhao Likun Qiu Changjian Hu

This paper presents a method for sentiment classification, called SESS (SElfSupervised and Syntax-Based method). SESS includes three phases. Firstly, some documents are initially classified based on a sentiment dictionary, and then the sentiments of phrases and documents are iteratively revised. This phase provides some accurately labeled data for the second phase. Secondly, a machine learning ...

Journal: :Journal of Turkish Studies 2009

Journal: :Journal of Information Processing 2016

Journal: :Information and Inference: A Journal of the IMA 2019

Journal: :The Journal of the Acoustical Society of America 2017

Journal: :IEEE Transactions on Signal Processing 2016

Journal: :EURASIP Journal on Image and Video Processing 2011

Journal: :Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning 2013
Jeffrey Ho Yuchen Xie Baba C. Vemuri

Existing dictionary learning algorithms are based on the assumption that the data are vectors in an Euclidean vector space ℝ d , and the dictionary is learned from the training data using the vector space structure of ℝ d and its Euclidean L2-metric. However, in many applications, features and data often originated from a Riemannian manifold that does not support a global linear (vector space) ...

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