T-Learning was passive, for a long time, because of the restrictions imposed on TVs. The relevant restrictions are a result of the input function, i.e. the normal TV remote contro...
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Abstract. JH, designed by Wu, is one of the 14 second round candidates in the NIST Hash Competition. This paper presents the first analysis results of JH by using rebound attack. ...
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...