Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...
Yanwei Pang, Lei Zhang, Zhengkai Liu, Nenghai Yu, ...
Abstract. We present a performance analysis of three linear dimensionality reduction techniques: Fisher's discriminant analysis (FDA), and two methods introduced recently base...
This paper reports on an improvement of Matsui’s linear cryptanalysis that reduces the complexity of an attack with algorithm 2, by taking advantage of the Fast Fourier Transform...
Abstract. In this contribution we investigate the influence of different variation effects on the growth of code. A mutation-based variant of linear GP is applied that operates ...
Abstract. A theoretical analysis for comparing two linear dimensionality reduction (LDR) techniques, namely Fisher's discriminant (FD) and Loog-Duin (LD) dimensionality reduci...