Abstract. This paper introduces the Assistive Kitchen as a comprehensive demonstration and challenge scenario for technical cognitive systems. We describe its hardware and software infrastructure. Within the Assistive Kitchen application, we select particular domain activities as research subjects

Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such features can be used for recognizing complex motion patterns. We construct video representations in terms of local space

examine the measures of risk provided and the related actions required by SPAN, by the SEC/NASD rules, and by quantile-based methods. We demonstrate the universality of scenario-based methods for providing coherent measures. We offer suggestions concerning the SEC method. We also suggest a method

of AdS5 spacetime). This mechanism relies on the existence of only a single additional dimension. We demonstrate a simple explicit example of this mechanism with two three-branes, one of which contains the Standard Model fields. The experimental consequences of this scenario are new and dramatic

that for many scenarios, it is more meaningful to assign to each object a degree of being an outlier. This degree is called the local outlier factor (LOF) of an object. It is local in that the degree depends on how isolated the object is with respect to the surrounding neighborhood. We give a detailed formal

recognition, detection and clustering. The method is fast, does not require video alignment and is applicable in (but not limited to) many scenarios where the background is known. Moreover, we demonstrate the robustness of our method to partial occlusions, non-rigid deformations, significant changes in scale

We demonstrate that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal-like behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based networks

-riding are in place. We demonstrate through simulations of scenarios of practical interest that the expected file download time improves by more than 20-30 % with network coding compared to coding at the server only and, by more than 2-3 times compared to sending unencoded information. Moreover, we show that network

Abstract . By ratifying the Convention, the Bangladesh Government has bound itself to implement its provisions (Baseline report, Naripokkho and BD Mohila Parishad, August 24,1995).

including Random Waypoint, Group Mobility, Freeway and Manhattan models. Based on these models several ’test-suite ’ scenarios are chosen carefully to span the metric space. We demonstrate the utility of our testsuite by evaluating various MANET routing protocols, including DSR, AODV and DSDV. Our results