This study employs the framework of the resource-based theory (RBT), and investigates the process by which firms can realize the potential value of their alliance management capability. In this process, co-exploration and co-exploitation are regarded as the two main strategic actions needed to leverage alliance management capability. Analyses of multisource, time-lagged data on 172 Finnish manu...

Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phant...

Texture classification co-occurrence matrices rotation invariance digital circles discrete Fourier transform. Grey-level co-occurrence matrices (GLCM) have been on the scene for almost forty years and continue to be widely used today. In this paper we present a method to improve accuracy and robustness against rotation of GLCM features for image classification. In our approach co-occurrences ar...

This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the...

This paper presents a crowd detection system based on texture analysis. The state-of-the-art techniques based on co-occurrence matrix have been revisited and a novel set of features proposed. These features provide a richer description of the co-occurrence matrix, and can be exploited to obtain stronger classification results, especially when smaller portions of the image are considered. This i...

Information Retrieval queries often result in a large number of documents found to be relevant. These documents are usually sorted by relevance, not by an analysis of what the user meant. If the document collection contains many documents on one of those meanings, it is hard to find other documents. We present a technique called conceptual grouping that automatically distinguishes between diffe...

Abstract: Many automated visual inspection applications rely on a segmentation of surfaces into meaningful regions, for instance into defective and non-defective areas. This paper presents a segmentation approach based on illumination series, by which we denote a set of images taken under variable directional illumination. We show that co-occurrence matrices calculated from the series of images...

A co-ordination mechanism is proposed for multi-agent production-distribution co-operative scheduling problems, based on a purely temporal perspective. This mechanism is based on communication among pairs of client-supplier agents involved in the problem, and allows agents to locally perceive hard global temporal constraints. By exchanging limited specific information, the agents are able to re...

This paper provides our first forensic quartz grain surface texture analysis of soils from the southern hemisphere. Sediment and soil samples were collected from a simulated crime reconstruction in the environs of Canberra, Australia, which comprised a murder site, an alibi site and a body deposition site. Following the successful application of quartz grain surface texture analysis from many c...

This paper presents a partial solution to a component of the problem of lexical choice: choosing the synonym most typical, or expected, in context. We apply a new statistical approach to representing the context of a word through lexical co-occurrence networks. The implementation was trained and evaluated on a large corpus, and results show that the inclusion of second-order co-occurrence relat...