In this paper we explore how to represent object viewstructure by embedding the neighbourhood graphs of feature points in a pattern-space. We adopt a graph-spectral approach. We use the leading eigenvectors of the graph adjacency matrix to define clusters of nodes. For each cluster, we compute vectors of cluster properties. We embed these vectors in a pattern-space using two contrasting approac...

Discussions about different graph Laplacians, mainly normalized and unnormalized versions of the graph Laplacians, have been ardent with respect to various methods in clustering and graph based semi-supervised learning. Previous research on the graph Laplacians investigated their convergence properties to Laplacian operators on continuous manifolds. There is still no strong proof on convergence...

Discussions about different graph Laplacians—mainly the normalized and unnormalized versions of graph Laplacian—have been ardent with respect to various methods of clustering and graph based semi-supervised learning. Previous research in the graph Laplacians, from a continuous perspective, investigated the convergence properties of the Laplacian operators on Riemannian Manifolds. In this paper,...

In our effort to develop a modular neural system for invariant learning and recognition of 3D objects, we introduce here a new module architecture called an aspect network constructed around adaptive axo-axo-dendritic synapses. This builds upon our existing system (Seibert & Waxman, 1989) which processes 20 shapes and classifies t.hem into view categories (i.e ., aspects) invariant to illuminat...

Web services as independent software components are published on the Internet by service providers and services are then called by users’ request. However, in many cases, no service alone can be found in the service repository that could satisfy the applicant satisfaction. Service composition provides new components by using an interactive model to accelerate the programs. Prior to service comp...

Graph processing challenges are common in modern database systems, with the property graph data model gaining widespread adoption [29]. Due to the novelty of the eld, graph databases and frameworks typically provide their own query language, such as Cypher for Neo4j [27], Gremlin for TinkerPop [28] and GraphScript for SAP HANA [24]. These languages often lack a formal background for their data ...

Developers often need to decide which APIs use for the functions being implemented. With ever-growing number of and libraries, it becomes increasingly difficult developers find appropriate APIs, indicating necessity automatic API usage recommendation. Previous studies adopt statistical models or collaborative filtering methods mine implicit patterns However, they rely on occurrence frequencies ...