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SCENE CLASSFICATION BASED ON THE SEMANTIC-FEATURE FUSION FULLY SPARSE TOPIC MODEL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
Scene classification Fully sparse topic model Semantic-feature Fusion Limited training samples High spatial resolution
2016/11/23
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
A KERNEL METHOD BASED ON TOPIC MODEL FOR VERY HIGH SPATIAL RESOLUTION (VHSR) REMOTE SENSING IMAGE CLASSIFICATION
VHSR remote sensing image Classification Support vector machine (SVM) Composite kernel Latent Dirichlet allocation (LDA) Structure Spatial Spectral
2016/11/23
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
Labeled LDA supervised topic model credit attribution multi-labeled corpora
2015/6/12
A significant portion of the world’s text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages have multiple tags, but the...
Topic Model Diagnostics:Assessing Domain Relevance via Topical Alignment
Topic Model Diagnostics Domain Relevance Topical Alignment
2015/6/12
The use of topic models to analyze domainspecific texts often requires manual validation of the latent topics to ensure that they are meaningful. We introduce a framework to support such a large-scale...
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (Supplementary Materials)
Topic Model Diagnostics Domain Relevance Topical Alignment
2015/6/12
Supplementary Figure 2 shows an enlarged version of Figure 1 in the main paper with additional details in the caption.Supplementary Figure 3 shows additional data points for Figure 7 in the main paper...
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
ASupervised Neural Autoregressive Topic Model Simultaneous Image Classification Annotation
2013/6/17
Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Aut...