This paper presents a Local Learning Projection (LLP) approach for linear dimensionality reduction. We first point out that the well known Principal Component Analysis (PCA) essen...
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
Traditional email clients are built with a “one-touch” model in mind that assumes an immediate action is performed once an email is read. However, some emails require a follow...
Models are widely used for communication and documentation purposes. They also tend to be used as parameters for code generation. Because these models have to be complete, consist...
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform’s propert...