Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Abstract. We present a distinguishing attack against SOBER-128 with linear masking. We found a linear approximation which has a bias of 2−8.8 for the non-linear filter. The atta...
In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In...
This paper defines the cover of a formula with respect to a set of variables V in theory T to be the strongest quantifier-free formula that is implied by V : in theory T. Cover e...
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...