This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …

In this survey we give a short introduction into appearance-based object recognition. In
general, one distinguishes between two different strategies, namely local and global …

This paper develops a novel statistical approach for automatic vehicle detection based on
local features that are located within three significant subregions of the image. In the …

We address the microarray dataset based cancer classification using a newly proposed
multiple classifier system (MCS), referred to as Rotation Forest. To the best of our …

This paper presents a new framework for blind source separation (BSS) of non-negative
source signals. The proposed framework, referred herein to as convex analysis of mixtures …

Recent advances have shown that algorithms with (2D) matrix-based representation perform
better than the traditional (1D) vector-based ones. In particular, 2D-LDA has been widely …

This paper presents learning the uncorrelated color space (UCS), the independent color
space (ICS), and the discriminating color space (DCS) for face recognition. The new color …

Cryptographic systems have been widely used in many information security applications.
One main challenge that these systems have faced has been how to protect private keys …

This paper evaluates face recognition applied to the real-world application of Facebook.
Because papers usually present results in terms of accuracy on constrained face datasets, it …

This paper presents a novel independent component analysis (ICA) color space method for
pattern recognition. The novelty of the ICA color space method is twofold: 1) deriving …