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To address the problem of 3D face modeling based on a set of landmarks on images, the traditional feature-based morphable model, using face class-specific information, makes direct use of these 2D points to infer a dense 3D face surface. However, the unknown depth of landmarks degrades accuracy considerably. A promising solution is to predict the depth of landmarks at first. Bases on this idea, a...
In this paper, the author make the grey forecast united with the fuzzy synthetic assessment to determine the regional classification problems for regulating and planning groundwater. In this case, the following models are adopted to forecast the water quality system: GM(1, 1) model groups, GM(1, 1) residual difference model, GM(1, N), GM(1, 1) Weighted model.
Embedded vector processor is a kind of high-performance parallel processor. Pipeline design is a key technology in embedded vector microprocessors. This paper proposes a new modeling method for vector processor pipeline using open queueing network by instruction set feature of vector processor. According to instruction set distribution of vector processor in the practical projects and owing in the...
Service Oriented Architecture (SOA) and Service Oriented Computing (SOC) are prevailing technologies for sharing and reusing resources. Service composition is an envisioned methodology used in SOA and SOC to build value-added services. The existed service clustering and selection models are mostly designed for service discovery and there is few considering the requirement of service composition from...
Service Oriented Architecture (SOA) and Service Oriented Computing (SOC) are prevailing paradigms for sharing and reusing resources. Service composition is a methodology widely used in SOA and SOC to build new value-added services on primitive services on-the-fly to support online Business-to-Business collaborations. Requirements of customers to these composite services include functionality and non-functionality...
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