Results 11 to 20 of about 2,182,891 (278)
On the image of the Lawrence-Krammer representation [PDF]
Journal of Knot Theory and Its Ramifications, 2005 A non-singular sesquilinear form is constructed that is preserved by the Lawrence-Krammer representation. It is shown that if the polynomial variables q and t of the Lawrence-Krammer representation are chosen to be appropriate algebraically independant ...
Budney, Ryan
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Structural image representation for image registration [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010 We propose a structural image representation and show its relevance for multi-modal image registration. Structural representation means that only the structures in the image matter and not the intensity values of their depiction. The representation is formulated as a dense descriptor.
Christian Wachinger, Nassir Navab
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Hyperbolic Image-Text Representations
CoRR, 2023 Visual and linguistic concepts naturally organize themselves in a hierarchy, where a textual concept "dog" entails all images that contain dogs. Despite being intuitive, current large-scale vision and language models such as CLIP do not explicitly capture such hierarchy.
Karan Desai +4 more
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Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation
IEEE Access, 2020 Projective non-negative matrix factorization (PNMF) as a variant of NMF has received considerable attention. However, the existing PNMF methods can be further improved from two aspects.
Peng Luo +7 more
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Object Level Deep Feature Pooling for Compact Image Representation [PDF]
, 2015 Convolutional Neural Network (CNN) features have been successfully employed in recent works as an image descriptor for various vision tasks. But the inability of the deep CNN features to exhibit invariance to geometric transformations and object ...
Babu, R. Venkatesh, Mopuri, Konda Reddy
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FNRegion: A fast NAM‐based region extraction algorithm
IET Image Processing, 2023 Region extraction is usually used by many computer vision tasks as a pre‐processing step to extract image features. However, how to efficiently extract effective regions remains a challenging problem.
Yunping Zheng, Bowen Yang, Mudar Sarem
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Representing Blurred Image without Deblurring
Mathematics, 2023 The effective recognition of patterns from blurred images presents a fundamental difficulty for many practical vision tasks. In the era of deep learning, the main ideas to cope with this difficulty are data augmentation and deblurring.
Shuren Qi +3 more
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Evidence for Holistic Representations of Ignored Images and Analytic Representations of Attended Images. [PDF]
Journal of Experimental Psychology: Human Perception and Performance, 2004 According to the hybrid theory of object recognition (J. E. Hummel, 2001), ignored object images are represented holistically, and attended images are represented both holistically and analytically. This account correctly predicts patterns of visual priming as a function of translation, scale (B. J. Stankiewicz & J. E.
Davidoff, Jules B. +2 more
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Shape retrieval by using multi-scale angle-based representation and dynamic label propagation
IET Cyber-systems and Robotics, 2020 To improve the robustness and discrimination power of the triangle-area representation, a novel shape matching method based on multi-scale angle representation is proposed in this study.
Yanxia Yu +6 more
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Anisotropic Mesh Adaptation for Image Representation [PDF]
, 2016 Triangular meshes have gained much interest in image representation and have been widely used in image processing. This paper introduces a framework of anisotropic mesh adaptation (AMA) methods to image representation and proposes a GPRAMA method that is
Li, Xianping
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