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In this paper we introduce the concept of local label de-scriptor, which is a concatenation of label histograms for each cell in a patch. Local label descriptors alleviate the label patch misalignment issue in combining structured label predictions for semantic image labeling. Given an input image, we solve for a label map whose local label descriptors can(More)
Host-defense peptides (HDPs) are produced by eukaryotes to defend against bacterial infection, and diverse synthetic polymers have recently been explored as mimics of these natural peptides. HDPs are rich in both hydrophobic and cationic amino acid residues, and most HDP-mimetic polymers have therefore contained binary combinations of hydrophobic and(More)
In this paper, we propose a unified architecture of cloud service delivery platform that serves as a launch pad to deliver any IT resources, software in particular, as a service. A generic cloud service delivery platform is implemented based on the proposed unified architecture. A messaging-oriented-middleware (MoM) system is used as a supporting framework(More)
OBJECTIVES This study explores the influence of psychological resilience on the onset of activities of daily living (ADL) disability among Chinese older adults and examines whether this association varies by age. METHOD Using a sample of 11,112 older adults from 2 waves of the Chinese Longitudinal Healthy Longevity Survey, collected in 2002 and 2005, this(More)
Because of the unreliability judgment of paddy rice's nitrogen deficiency depending on the traditional artificial naked eye, in this article, the way of the paddy rice's nitrogen deficiency examination based on image is put forward, to achieve the precise fast lossless detection and judgment on the paddy rice's nitrogen. Based on the sorting function of(More)
Higher-order Singular Value Decomposition (HOSVD) for tensor decomposition is widely used in multi-variate data analysis, and has shown applications in several areas in computer vision in the last decade. Conventional multi-linear assumption in HOSVD is not translation invariant — translation in different tensor modes can yield different(More)
This paper proposes a novel image parsing framework to solve the semantic pixel labeling problem from only label strokes. Our framework is based on a network of voters, each of which aggregates both a self voting vector and a neighborhood context. The voters are parameterized using sparse convex coding. To efficiently learn the parameters, we propose a(More)
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