Convolution,Image coding,Image edge detection,Tensile stress,Interpolation,Spectral analysisLearning and processing of signals over hypergraph models have gained substantial traction owing to the ability of hyp
Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image (TIP, 2022) [paper] Hypergraph Spectral Analysis and Processing in 3D Point Cloud (TIP, 2021) [paper] Hypergraph Neural Network for Skeleton-Based Action Recognition (TIP, 2021) [paper] Multi-Scale Representat...
Image Underst. (2013) H. Chen, P. Meer, Robust regression with projection based m-estimators, in: ICCV, 2003, pp... H. Isack et al. Energy-based geometric multi-model fitting Int. J. Comput. Vis. (2012) S. Mittal et al. Generalized projection-based m-estimator IEEE Trans. Pattern...
Recent advances in graph-based methods, ranging from graph attention models to graph contrastive learning, have enabled novel applications and enhanced performance in image processing or data mining. In practical applications, the suitability of graph structures for representing object relations is a ...
Bretto, A., Gillibert, L.: Hypergraph-based Image Representation, Lecture Notes in Computer Science, 3434, 1-11 (Springer, 2005) Ducournau, A., Bretto, A., Rital, S., Laget, B.: A Reductive Approach to Hypergraph Clustering: An Application to Image Segmentation. Pattern Recogn. 45(7)...
Moreover, we include two possible applications of the corresponding diffusion equations: for the oriented setting we investigate the information flow on networks based on the hypergraph Laplacian and for the unoriented setting we discuss an application to image processing and derive novel scale spaces ...
Complex entangled states are the key resources for measurement-based quantum computations, which is realised by performing a sequence of measurements on initially entangled qubits. Executable quantum algorithms in the graph-state quantum computing model
Kyndi's Natural Language-powered platform helps organizations find answers in unstructured, text-based data at unparalleled speed. More Software Machine learning Artificial intelligence Biology Natural language processing Deep learning Black box Drug discovery Business process ...[+6] Siemens Industry Softwa...
Ren et al. have showed that a matrix representation is also suitable for image processing [40], and have proposed an improved hypergraph Laplacian matrix based on the developments of Zhou et al.'s method [53]. However, this method is based on a relatively impoverished spectral characterization...
So to each image we can associate a Applications We now develop some low level image processing algorithms based on topological and geometrical properties of the INH model, specifically, segmentation, edges detection and structure preserving noise cancellation. This new approach represents a significant ...