Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
This paper explores the use of two complementary approaches, each stemming from Personal Construct Theory (PCT), to investigate the interdependence of organizations and informatio...
Laurence Brooks, Christopher J. Davis, Mark Lycett
Multiprocessor SoCs are increasingly deployed in embedded systems with little or no security features built in. Code Injection attacks are one of the most commonly encountered sec...
Krutartha Patel, Sridevan Parameswaran, Seng Lin S...
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
Taylan Yemliha, Shekhar Srikantaiah, Mahmut T. Kan...
Abstract. In this paper we discuss the computational power of Lipschitz dynamical systems which are robust to infinitesimal perturbations. Whereas the study in [1] was done only f...