We propose a new hierarchical architecture for visual pattern classification. The new architecture consists of a set of fixed, directional filters and a set of adaptive filters arranged in a cascade structure. The fixed filters are used to extract primitive features such as orientations and edges that are present in a wide range of objects, whereas the adaptive filters can be trained to find co...

Hierarchical planning is an approach of planning by composing and executing hierarchically arranged predefined plans on the fly to solve some problems. This approach commonly relies on a domain expert providing all semantic and structural knowledge. One challenge is how the system deals with incomplete ill-defined knowledge while the solution can be achieved on the fly. Most symbolic-based hier...

We describe the design of a directory-based shared memory architecture on a hierarchical network of hypercubes. The distributed directory scheme comprises two separate hierarchical networks for handling cache requests and transfers. Further, the scheme assumes a single address space and each processing element views the entire network as contiguous memory space. The size of individual directori...

This paper describes a highly modular hierarchical behaviorbased control system for robots. Key features of the architecture include: easy addition/removal of behaviors, easy addition of specialized behaviors, easy to program hierarchical structure, and ability to execute nonconflicting behaviors in parallel. The architecture uses a unique reward based combinator to arbitrate amongst competing ...

This paper presents a hybrid multi-agent architecture called MAGIQUE 1. The aim of this architecture is to take advantage of both blackboard systems and autonomous agents. Our model contains several hierarchical control levels. It allows users modeling complex applications that involve interactions of sets of agents. For example in a multi-expert system, we can have a level for each logic used ...

the author in this research has tried to link the alexander pattern language theory, which is based on human oriented and spatial factors, to landscape design, which could come to a cyclic model of “a pattern language for landscape design” in iranian schools of architecture. so, a landscape design process based on the value of human-oriented approach, which is extracted from other values, and t...

For a generic flexible efficient array antenna receiver platform a hierarchical tiled architecture has been proposed, giving a heterogeneous multi-processor system-on-chip (MPSoC), multiple chips on a board (MCoB) and multiple boards in a system (MBiS). A wide range of MPSoCs are predicted to be used in the near future but how to efficiently apply these designs remains an issue. We will advocat...

In this work, a hierarchical self-organizing model based on the GHSOM is presented in order to cluster web contents. The GHSOM is an artificial neural network that has been widely used for data clustering. The hierarchical architecture of the GHSOM is more flexible than a single SOM since it is adapted to input data, mirroring inherent hierarchical relations among them. The adaptation process o...

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...

Web caching has been well accepted as a viable method for saving network bandwidth and reducing user access latency. To provide cache sharing on a large scale, hierarchical web caching has been widely deployed to improve the scalability of content dissemination through the World Wide Web. In this paper, we present GHC, a grid-based hierarchical web caching architecture, for constructing efficie...