Given a set of N sequences, the Multiple Sequence Alignment problem is to align these N sequences, possibly with gaps, that brings out the best commonality of the N sequences. MUSCA is a two-stage approach to the alignment problem by identifying two relatively simpler sub-problems whose solutions are used to obtain the alignment of the sequences. We first discover motifs in the N sequences and ...

This study investigates the effect of IT-business strategic alignment on organizational agility by considering the effects of IT flexibility and IT capability on strategic alignment. Also this study investigates the moderating role of environmental uncertainty on the relationship between strategic alignment and organizational agility. This research is an applied research based on purpose and de...

This paper presents a variation on the theme of using string alignment for MIR in the context of cover song identification in audio collections. Here, the strings are derived from audio by means of HMM-based chord estimation. The characteristics of the cover-song ID problem and the nature of common chord estimation errors are carefully considered. As a result strategies are proposed and systema...

We introduce the concept of 4D model flow for the precomputed alignment of dynamic surface appearance across 4D video sequences of different motions reconstructed from multi-view video. Precomputed 4D model flow allows the efficient parametrization of surface appearance from the captured videos, which enables efficient real-time rendering of interpolated 4D video sequences whilst accurately rep...

This paper proposes a novel view independent vehicle make and model recognition method(VMMR). Our system identifies the make and model from the variety of viewpoints while the conventional methods for VMMR work only for the fixed frontal or rear images. In addition, it needs only the 2D images not CAD data for database. To solve the alignment issue, our method uses SIFT, that has scale and rota...