Abstract. Increasing adoption of smartphones in recent times has begun to attract more and more malware writers towards these devices. Among the most prominent and widely adopted o...
Mohammad Nauman, Sohail Khan, Xinwen Zhang, Jean-P...
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...