This study provides an investigation of scalability of mobile robot localization. In recent years, inference algorithms based on map-matching have proved their superior performanc...
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
We present a shape matching algorithm based on the chamfer distance transform which can be easily integrated into the well-known SIFT framework. The shape matching was designed to...
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
A fast block matching algorithm in the feature domain was proposed by Fok and Au which achieves a computation reduction factor of N/2 with search block size of N