— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
In this paper, we aim to determine the significance of different stages of an attack, namely the preamble and the exploit, on an achieved anomaly rate. To this end, we analyze fou...
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
We present a method for real-time 3D object detection
that does not require a time consuming training stage, and
can handle untextured objects. At its core, is a novel tem-
plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrat...
Elizabeth Sklar, Jordan Salvit, Christopher Camach...