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A spatial relation graph (SRG) and its partial matching method are proposed for online composite graphics representation and recognition. The SRG-based approach emphasizes three characteristics of online graphics recognition: partial, structural, and independent of stroke order and stroke number. A constrained partial permutation strategy is also proposed(More)
An on-line graphics recognition system is presented, which provides users a natural, convenient, and efficient way to input rigid and regular shapes or graphic objects (e.g., triangles, rectangles, ellipses, straight line, arrowheads, etc.) by quickly drawing their sketchy shapes in single or multiple strokes. An input sketchy (hand-drawn) shape is(More)
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the cluster hypothesis. However, semantically related images are often scattered across several visual clusters. Although traditional Content-based Image Retrieval (CBIR) technologies may(More)
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual idea is to place each image in multiple feature spaces and then perform retrieval by querying each of these spaces and merging the several responses. We have shown that a simple(More)
For small screen devices, such as PDAs, which totally depend on a pen-based user interface, traditional menu-selection/button-clicking based user interface becomes inconvenient for graphics inputting. In this paper, a novel sketch-based graphics inputting user interface is presented. By sketching a few constituent primitive shapes of the user-intended(More)
A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divided the on-line graphics recognition process into four stages: preprocessing, shape classification, shape fitting, and regularization. The Attraction Force Model is proposed to progressively combine the vertices on the input(More)
Zika virus has attracted increasing attention because of its potential for causing human neural disorders, including microcephaly in infants and Guillain-Barré syndrome. Its NS3 helicase domain plays critical roles in NTP-dependent RNA unwinding and translocation during viral replication. Our structural analysis revealed a pre-activation state of NS3(More)
Recent outbreak of flavivirus Zika virus (ZIKV) in America has urged the basic as well as translational studies of this important human pathogen. The nonstructural protein 5 (NS5) of the flavivirus has an N-terminal methyltransferase (MTase) domain that plays critical roles in viral RNA genome capping. The null mutant of NS5 MTase is lethal for virus.(More)
UNLABELLED To overcome treatment limitations of adenoid cystic carcinoma, we developed a novel treatment combining gene therapy and nanotechnology. In this study, we created a plasmid, pACTERT-TRAIL, which used the human telomerase reverse transcriptase promoter, a tumor-specific promoter, to drive tumor necrosis factor-related apoptosis-inducing ligand(More)
1 This work was supported in part by NASA grant NAG5-12025 and by the National Science Foundation. The views expressed here are those of the authors and do not necessarily represent those of NASA or the National Science Foundation. ABSTRACT Content-based image retrieval (CBIR) uses features that can be extracted from the images themselves. In previous work(More)