Traditionally, classifying large hierarchical labels with more than 10000 distinct traces can only be achieved with flatten labels. Although flatten labels is feasible, it misses the hierarchical information in the labels. Hierarchical models like HSVM by Vural & Dy (2004) becomes impossible to train because of the sheer number of SVMs in the whole architecture. We developed a hierarchical arch...

This paper aims at finding fundamental design principles for hierarchical web caching. An analytical modeling technique is developed to characterize an uncooperative two-level hierarchical caching system where the least recently used (LRU) algorithm is locally run at each cache. With this modeling technique, we are able to identify a characteristic time for each cache, which plays a fundamental...

In enterprise architecture, the goal is to integrate business resources and IT resources in order to improve an enterprise’s competitiveness. In an enterprise architecture project, the development team constructs a hierarchical model that represents the enterprise. Our goal is to develop a hierarchical object-oriented model that can serve as enterprise model. The state of the art in hierarchica...

Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new algorithms being proposed and applied to a wide range of applications. However, despite the apparent success of hierarchical algorithms in practice, the theory of hierarchical architectures remains at an early stage. In this paper we study the theoretical properties of hierarchical algorithms from a m...

Formation control of a UAV swarm is challenging in outdoor GNSS-denied environments due to the difficulties accomplishing relative positioning among UAVs. This study proposes vision-based formation strategy that could be implemented absence an external system. The hierarchical architecture has been constructed for using modified leader-follower strategy. leader derives and broadcasts locations ...