Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
This paper presents an extensive statistical study and analysis of the effects of channel delays in the current (best-effort) Internet on underflow events in MPEG-4 video streamin...
This paper presents the effectiveness of an interactive support facility to tune processor allocation of data-driven realtime programs on CUE (Coordinating Users’ requirements an...