Abstract: In this paper, a set of feature vector normalization methods based on the minimum mean square error (MMSE) criterion and stereo data is presented. They ...

Abstract: In the clustering of key points, the ratio of inter-class distance and intra-class distance is enlarged using Normalized SIFT vectors. In order to significantly make the ratio larger, a new ...

I created a small benchmark to measure the normalization overhead of converting a constant type-level list into a constant vector. As already indicated in #1977, the complexity of normalization seems ...

In this project I implemented to programs to normalize a vector (divide each component by the vector's length). The first program is sequetial while the second one is executed in parallel using POSIX ...

The meson wave function in the spinor stronginteraction theory is uniquely normalized on dimensionalgrounds, thus bypassing the fundamental problems in thenormalization of Klein-Gordon (KG) and ...