An often overlooked problem in matching lies in selecting an appropriate step size. The selection of the step size for real-time applications is critical both from the point of vi...
Nathan Mekuz, Konstantinos G. Derpanis, John K. Ts...
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...
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Linguistic steganography, as a method of text steganography, is becoming a hot spot. To investigate the linguistic steganography for Chinese text, A Chinese linguistic steganograp...
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...