We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
Our experiments in TRECVID 2008 include participation in the high-level feature extraction, automatic search, video summarization, and video copy detection tasks, using a common s...