This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
We present a new method for matching a region between an input and a query image, based on the P-channel representation of pixel-based image features such as grayscale and color i...
A solution to the problem of simultaneously extracting and tracking a piecewise-linear range representation of a mobile robot's local environment is presented. The classical ...
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...