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Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data distributions are different. In this paper, we present a low-rank reconstruction method to reduce the domain distribution disparity. Specifically, we transform the visual samples in(More)
Social media sharing web sites like Flickr allow users to annotate images with free tags, which significantly facilitate Web image search and organization. However, the tags associated with an image generally are in a random order without any importance or relevance information, which limits the effectiveness of these tags in search and other applications.(More)
R-spondin proteins strongly potentiate Wnt signalling and function as stem-cell growth factors. Despite the biological and therapeutic significance, the molecular mechanism of R-spondin action remains unclear. Here we show that the cell-surface transmembrane E3 ubiquitin ligase zinc and ring finger 3 (ZNRF3) and its homologue ring finger 43 (RNF43) are(More)
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Specifically, we convert each confidence score vector obtained from one model into a pairwise relationship matrix, in which each entry characterizes the comparative relationship of(More)
Neurons require large amounts of energy to support their survival and function, and are therefore susceptible to excitotoxicity, a form of cell death involving bioenergetic stress that may occur in several neurological disorders including stroke and Alzheimer’s disease. Here we studied the roles of NAD+ bioenergetic state, and the NAD+-dependent enzymes(More)
Analysis and detection of complex events in videos require a semantic representation of the video content. Existing video semantic representation methods typically require users to pre-define an exhaustive concept lexicon and manually annotate the presence of the concepts in each video, which is infeasible for real-world video event detection problems. In(More)
We study the problem of learning with label proportions in which the training data is provided in groups and only the proportion of each class in each group is known. We propose a new method called proportionSVM, or ∝SVM, which explicitly models the latent unknown instance labels together with the known group label proportions in a largemargin framework.(More)
Combinations of ethylene and methyl jasmonate (ElMeJA) synergistically induced members of both groups 1 and 5 of the pathogenesis-related (PR) superfamily of defense genes. ElMeJA caused a synergistic induction of P R l b and osmotin (PR-5) mRNA accumulation in tobacco seedlings. ElMeJA also synergistically activated the osmotin promoter fused to a(More)
The high-metabolic demand of neurons and their reliance on glucose as an energy source places them atrisk for dysfunction and death under conditions of metabolic and oxidative stress. Uncoupling proteins (UCPs) are mitochodrial inner membrane proteins implicated in the regulation of mitochondrial membrane potential (ΔΨm) and cellular energy metabolism. The(More)
Online social media repositories such as Flickr and Zooomr allow users to manually annotate their images with freely-chosen tags, which are then used as indexing keywords to facilitate image search and other applications. However, these tags are frequently imprecise and incomplete, though they are provided by human beings, and many of them are almost only(More)