Institution
University of Windsor
Education•Windsor, Ontario, Canada•
About: University of Windsor is a education organization based out in Windsor, Ontario, Canada. It is known for research contribution in the topics: Population & Argumentation theory. The organization has 10654 authors who have published 22307 publications receiving 435906 citations. The organization is also known as: UWindsor & Assumption University of Windsor.
Papers published on a yearly basis
Papers
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TL;DR: A fast image similarity measurement based on random verification is proposed to efficiently implement copy detection and the proposed method achieves higher accuracy than the state-of-the-art methods, and has comparable efficiency to the baseline method based on the BOW quantization.
Abstract: To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on the bag-of-visual-words (BOW) model, in which local features are quantized into visual words for image matching. However, both the limited discriminability of local features and the BOW quantization errors will lead to many false local matches, which make it hard to distinguish similar images from copies. Geometric consistency verification is a popular technology for reducing the false matches, but it neglects global context information of local features and thus cannot solve this problem well. To address this problem, this paper proposes a global context verification scheme to filter false matches for copy detection. More specifically, after obtaining initial scale invariant feature transform (SIFT) matches between images based on the BOW quantization, the overlapping region-based global context descriptor (OR-GCD) is proposed for the verification of these matches to filter false matches. The OR-GCD not only encodes relatively rich global context information of SIFT features but also has good robustness and efficiency. Thus, it allows an effective and efficient verification. Furthermore, a fast image similarity measurement based on random verification is proposed to efficiently implement copy detection. In addition, we also extend the proposed method for partial-duplicate image detection. Extensive experiments demonstrate that our method achieves higher accuracy than the state-of-the-art methods, and has comparable efficiency to the baseline method based on the BOW quantization.
332 citations
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330 citations
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TL;DR: This is the first general review of non-silicate mesoporous materials and will focus on recent advances in this area, emphasizing materials possessing unique electronic, magnetic, or optical properties.
Abstract: Work in mesoporous silica-based materials began in the early 1990s with work by Mobil. These materials had pore sizes from 20–500 A and surface areas of up to 1500 m2 g−1 and were synthesized by a novel liquid crystal templating approach. Researchers subsequently extended this strategy to the synthesis of mesoporous transition metal oxides, a class of materials useful in catalysis, electronic, and magnetic applications because of variable oxidation states, and populated d-bands—features not found in silicates. These materials are already showing promise in electronic and optical applications hinging on the semiconducting properties of transition metal oxides and their potential to act as electron acceptors, an important feature in the design of cathodic materials. This is the first general review of non-silicate mesoporous materials and will focus on recent advances in this area, emphasizing materials possessing unique electronic, magnetic, or optical properties. Also covered are advances in the synthesis and applications of mesostructured sulfides as well as a new class of template-synthesized platinum-based materials that show promise in heterogeneous catalysis.
330 citations
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327 citations
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TL;DR: This article summarizes research that addresses some of the developmental interactions of disabilities in reading, spelling, and mechanical arithmetic by focusing on two subtypes of children with learning disabilities who exhibit equally impaired levels of arithmetic achievement, but with vastly different patterns of neuropsychological assets and deficits.
Abstract: From a neuropsychological perspective, this article summarizes research that addresses some of the developmental interactions of disabilities in reading, spelling, and mechanical arithmetic. The focus is on two subtypes of children with learning disabilities who exhibit equally impaired levels of arithmetic achievement, but with vastly different patterns of neuropsychological assets and deficits. Qualitative as well as quantitative analyses lead to the conclusion that one of these patterns of neuropsychological assets and deficits (i.e., the nonverbal learning disabilities syndrome; NLD) leads--at the same time and in much the same manner--to specific patterns of impairment in mechanical arithmetic and in psychosocial functioning. The other pattern (Group R-S) is found to lead to particular patterns of academic deficits (including arithmetic), but not to any particular level or type of psychosocial dysfunction. The manifestations of the NLD profile in various types of neurological disease, disorder, and dysfunction are also explored.
325 citations
Authors
Showing all 10751 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Robert E. W. Hancock | 152 | 775 | 88481 |
Michael Lynch | 112 | 422 | 63461 |
David Zhang | 111 | 1027 | 55118 |
Paul D. N. Hebert | 111 | 537 | 66288 |
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Qian Wang | 108 | 2148 | 65557 |
John W. Berry | 97 | 351 | 52470 |
Douglas W. Stephan | 89 | 663 | 34060 |
Rebecca Fisher | 86 | 255 | 50260 |
Mehdi Dehghan | 83 | 875 | 29225 |
Zhong-Qun Tian | 81 | 646 | 33168 |
Robert J. Letcher | 80 | 411 | 22778 |
Daniel J. Sexton | 76 | 369 | 25172 |
Bin Ren | 73 | 470 | 23452 |