Title :
Local patch effects on LPP and DLA in dimensionality reduction
Author :
Lei Zhang ; Xiaolong Chen ; Xuezhi Xiang
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
In order to preserve the local structure of the input data, many dimensionality reduction algorithms are involved in the definition of certain locality in the feature space. Thus local patch selection will directly affect the performance of these algorithms. In this paper, we propose a new method of local patch selection for dimensionality reduction. Specially, we incorporate our method into locality-preserving projection (LPP) and discriminative locality alignment (DLA), which are two typical algorithms without and with using label information in local patch selection. We do the experiments for scene classification with the Object Bank of 2124 original dimensions. We provide comprehensive evaluation of patch selection methods and extensive analysis on the performance of different methods.
Keywords :
data reduction; learning (artificial intelligence); pattern classification; DLA; LPP; dimensionality reduction; discriminative locality alignment; feature space; local patch effects; local patch selection; locality-preserving projection; object bank; scene classification; Algorithm design and analysis; Educational institutions; Information processing; Linear programming; Manifolds; Optimization; Vectors; Local patch selection; class locality; discriminative locality alignment; locality preserving projections;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053190