Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
—Top-k query has long been an important topic in many fields of computer science. Efficient implementation of the top-k queries is the key for information searching. With the n...
Hongbo Jiang, Jie Cheng, Dan Wang, Chonggang Wang,...
Background: The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching dat...
Fernando Meyer, Stefan Kurtz, Rolf Backofen, Sebas...
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...