搜索结果: 1-7 共查到“计算机应用 Discriminant Analysis”相关记录7条 . 查询时间(0.062 秒)
Adaptive Discriminant Analysis for face recognition from Single Sample per Person
Adaptive Discriminant Single Sample
2013/7/24
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis via Spectral Transduction
2013/7/16
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image set as a manifold, we ...
Real-Time image Annotation by Manifold-based Biased Fisher Discriminant Analysis
Real-Time image Annotation Manifold-based
2010/12/20
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval.However, two crucial issues are not well addressed in state-of-art annotation algori...
In this paper, we propose a non-parametric Discriminant Analysis method (no assumption on the distributions of classes), called Parzen Discriminant Analysis (PDA). Through a deep investigation on then...
Discriminant Analysis for Perceptionally Comparable Classes
Discriminant Analysis Perceptionally Comparable Classes
2013/7/17
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the classes to be p...
Real-time image annotation by manifold-based biased Fisher discriminant analysis
Image Annotation Manifold Co-Training Fisher Discriminant Analysis Real-Time Annotation
2013/7/17
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval. However, two crucial issues are not well addressed in state-of-art annotation algor...