An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Sm...
Abstract— Modern integrated radio systems require highly linear analog/RF circuits. Two-tone simulations are commonly used to study a circuit’s nonlinear behavior. Very often, ...
Jonathan Borremans, Ludwig De Locht, Piet Wambacq,...
The use of component models such as Enterprise Java Beans and the CORBA Component Model (CCM) in application development is expanding rapidly. Even in real-time safety/mission-cri...
John Hatcliff, Xianghua Deng, Matthew B. Dwyer, Ge...
In independent component analysis problems, when we use a one-unit objective function to iteratively estimate several independent components, the uncorrelatedness between the indep...
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...