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Below are several pieces of Donkey Kong art. The art below includes cabinet art, art from flyers and merchandising, and more. Most of the art below is in vector format (.eps files). All files are compressed, and need to be decompressed using a program such as WinZip.

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Download the vector logo of the King Kong (2005) brand designed by applesandrice in Encapsulated PostScript (EPS) format. The current status of the logo is active, which means the logo is currently in use.

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The RePEc plagiarism page Competition between the ports of Hong Kong and Singapore: a structural vector error correction model to forecast the demand for container handling servicesKing-Fai FungMaritime Policy & Management, 2001, vol. 28, issue 1, 3-22Abstract:The objective of this paper is to provide the Hong Kong government with an alternative forecast of container throughput, by studying various interactive relationships between major ports in East and Southeast Asia. As the demand for container handling services is 'derived' from the demand for imports, the resulting market shares for the container handling services gripped by different regions inevitably become a mirror image of the relative competitiveness of their exports. When the markets of the two ports overlap, their market shares will become a function of the prices they charge and how well they meet the needs of the shippers and shipping lines. A vector error correction model (VECM) with structural identification was set up to capture this kind of trade-interdependency and oligopolistic relationship in the East and Southeast Asian market for container handling services. In the course of so-doing, the upward sloping supply curves and downward sloping demand curve for the container handling services provided by Hong Kong and Singapore are identified from the model. Interestingly, the impulse response functions display what is reminiscent of the trade-interdependency and oligopolistic relationship. The forecast of Hong Kong container throughput generated by the structural VECM is then compared with that obtained by the Hong Kong Port Development Board (PDB). The sensitivity analysis shows that, in all possible cases, the structural VECM produces higher growth paths for the Hong Kong container throughput than the PDB does and, hence, suggests an earlier construction of new terminals.Date: 2001

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This item may be available elsewhere in EconPapers: Search for items with the same title.Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/TextPersistent link: :taf:marpmg:v:28:y:2001:i:1:p:3-22Ordering information: This journal article can be ordered from

DOI: 10.1080/03088830119563Access Statistics for this articleMaritime Policy & Management is currently edited by Dr Kevin Li and Heather Leggate McLaughlinMore articles in Maritime Policy & Management from Taylor & Francis Journals

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The relevance feedback approach is a powerful technique in content-based image retrieval (CBIR) tasks. In past years, many intra-query learning techniques have been proposed to solve the relevance feedback problem. Among these techniques, Support Vector Machines (SVM) have shown promising results in the area. More specifically, in relevance feedback applications the SVMs are typically been used as binary classifiers with the balanced input data assumption. In other words, they do not consider the imbalanced dataset problem in relevance feedback, i.e., the non-relevant examples outnumbered the relevant examples. In this paper, we propose to apply our Biased Support Vector Machine (BSVM) to address this problem. Moreover, we apply our Self-Organizing Map-based inter-query technique to reorganize the feature vector space, in order to incorporate the information provided by past queries and improve the retrieval performance for future queries. The proposed combined scheme is evaluated against real world data with promising results demonstrating the effectiveness of our proposed approach. ff782bc1db