The aim of this work is to develop an effective speaker recognition system under noisy environments for large data sets. important phases involved in typical identification systems are feature extraction, training and testing. During the extraction phase, speaker-specific information processed based on characteristics voice signal. Effective methods have been proposed silence removal order achi...

Temporal and spatial gene expression, together with the concentration of proteins and metabolites, is tightly controlled in the cell. This is possible thanks to complex regulatory networks between these different elements. The identification of these networks would be extremely valuable. We developed a novel algorithm to identify a large genetic network, as a set of linear differential equation...

We investigate the problem of automatically identifying speaking faces for video analysis using only the visual information. Intuitively, mouth should be first accurately located in each face, but this is extremely challenging due to the complicated condition in video, such as irregular lighting, changing face poses and low resolution etc. Even though we get the accurate mouth location, it’s st...

The oracle identification problem (OIP) was introduced by Ambainis et al. [4]. It is given as a set S of M oracles and a blackbox oracle f . Our task is to figure out which oracle in S is equal to the blackbox f by making queries to f . OIP includes several problems such as the Grover Search as special cases. In this paper, we improve the algorithms in [4] by providing a mostly optimal upper bo...

This paper develops the idea of min-max robust experiment design for dynamic system identification. The idea of min-max experiment design has been explored in the statistics literature. However, the technique is virtually unknown by the engineering community and, accordingly, there has been little prior work on examining its properties when applied to dynamic system identification. This paper i...