Hyperspectral image (HSI) possesses three intrinsic characteristics: the global correlation across spectral domain, the nonlocal self-similarity across spatial domain, and the local smooth structure across both spatial and spectral domains. This paper proposes a novel tensor based approach to handle the problem of HSI spatial super-resolution by modeling such three underlying characteristics. S...

Recent research has suggested that normal learning/memory may depend upon the balance between central noradrenergic and cholinergic systems. This hypothesis has particular relevance to the study of the neuronal rearrangement that follows cholinergic denervation of hippocampus. In this, peripheral noradrenergic fibers, originating from the superior cervical ganglion, grow into the hippocampus in...

Heterosubtypic immunity (HSI) is defined as cross-protection to infection with an influenza A virus serotype other than the one used for primary infection. Although HSI has been thought to be mediated by serotype cross-reactive cytotoxic T lymphocytes (CTL) that recognize conserved epitopes of structural proteins, recent studies suggest that antibodies (Abs) may make a significant contribution....

Reactions of di(alkyn-1-yl)(chloro)silanes, HSi(Cl)(C≡C-R)2, RSi(Cl)(C≡C-R)2 or HSi(Cl)(C≡C-R)C≡C-R′, with an excess of triethylborane, BEt3, proceed slowly (several days) at 100 – 120 ◦C. Twofold 1,1-organoboration of HSi(Cl)(C≡C-R)2 or HSi(Cl)(C≡C-R)C≡C-R′ leads to siloles, independent of R = nBu, tBu, SiMe3. This provides the most straightforward way to siloles bearing both a hydrogen and a ...

By converting color face image into HSI color space from RGB color space, getting face image templates of H, S, I three channels, using HSI-PCNN algorithm extracts facial feature sequence of three channels, the feature sequence can be used for face recognition. Through experimental comparison, this method can distinguish facial features well and has Strong robustness. Compared to the original P...

The RX anomaly detector is well known for its unsupervised ability to detect anomalies in hyperspectral images (HSI). However, the RX method assumes the data is uncorrelated and homogeneous, both of which are not inherent in HSI data. To defeat the correlation and homogeneity, a new method dubbed Iterative Linear RX is proposed. Rather than the test pixel being inside a window used by RX, Itera...

Bacterial pathogens frequently use protein secretion to mediate interactions with their hosts. Here we found that a virulence locus (HSI-I) of Pseudomonas aeruginosa encodes a protein secretion apparatus. The apparatus assembled in discrete subcellular locations and exported Hcp1, a hexameric protein that forms rings with a 40 angstrom internal diameter. Regulatory patterns of HSI-I suggested t...

The problem of learning with both labeled and unlabeled examples arises frequently in Hyperspectral image (HSI) classification. While marginal Fisher analysis is a supervised method, which cannot be directly applied for Semi-supervised classification. In this paper, we proposed a novel method, called semi-supervised marginal Fisher analysis (SSMFA), to process HSI of natural scenes, which uses ...

The advantages of Hyperspectral Imaging (HSI) over conventional remote sensing imaging has been well recognized (Schowengerdt, 1983). HSI provides the user with spatial and spectral information about scene objects and facilitates improved detection and identification over panchromatic and multispectral imagery. The predecessors of present day HSI systems were the broad band spaceborne multi-spe...