Results 1 to 10 of about 1,700,637 (286)
Conformal-Based Surface Morphing and Multi-Scale Representation [PDF]
This paper presents two algorithms, based on conformal geometry, for the multi-scale representations of geometric shapes and surface morphing. A multi-scale surface representation aims to describe a 3D shape at different levels of geometric detail, which allows analyzing or editing surfaces at the global or local scales effectively.
Ka Chun Lam, Lok Ming Lui
exaly +5 more sources
Knowledge Representation for Multi-Scale Physiology Route Modeling [PDF]
We present a framework for the topological and semantic assembly of multiscale physiology route maps. The framework, called ApiNATOMY, consists of a knowledge representation (KR) model and a set of knowledge management (KM) tools. Using examples of ApiNATOMY route maps, we present a KR format that is suitable for the analysis and visualization by KM ...
Natallia Kokash, Bernard de Bono
openaire +5 more sources
Learning Multi-Scale Representations for Material Classification [PDF]
The recent progress in sparse coding and deep learning has made unsupervised feature learning methods a strong competitor to hand-crafted descriptors. In computer vision, success stories of learned features have been predominantly reported for object recognition tasks.
Li, W., Fritz, M.
openaire +5 more sources
Multi-Scale Representation Learning on Proteins
Proteins are fundamental biological entities mediating key roles in cellular function and disease. This paper introduces a multi-scale graph construction of a protein -- HoloProt -- connecting surface to structure and sequence. The surface captures coarser details of the protein, while sequence as primary component and structure -- comprising secondary
Somnath, Vignesh Ram +2 more
openaire +4 more sources
Multi-Scale Graphical Representation of Cell Environment
We present a multi-scale graphical network that can capture the relevant representations of individual cell morphology, topological structure of cell communities in a tissue image, as well as whole slide level attributes. This helps to effectively merge the disease relevant cell morphology to the overall topological context within the sample, within ...
Theissen, H +4 more
openaire +3 more sources
Multi-Scale Representation of High Frequency Market Liquidity [PDF]
We introduce an event based framework mapping financial data onto a state based discretisation of time series. The mapping is intrinsically multi-scale and naturally accommodates itself with tick-by-tick data. Within this framework, we define an information theoretic quantity that characterises the unlikeliness of price trajectories and, akin to a ...
Anton Golub +3 more
openaire +5 more sources
Edge detection with multi-scale representation and refined Network
Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge for different computer vision algorithms.
Elharrouss, Omar +3 more
openaire +2 more sources
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition [PDF]
This paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new theory and algorithms for nonlinear eigenvalue problems via nonlinear ...
A Chambolle +22 more
core +3 more sources
Multi-Scale Fusion for Object Representation
Representing images or videos as object-level feature vectors, rather than pixel-level feature maps, facilitates advanced visual tasks. Object-Centric Learning (OCL) primarily achieves this by reconstructing the input under the guidance of Variational Autoencoder (VAE) intermediate representation to drive so-called slots to aggregate as much object ...
Pajarinen Joni +3 more
openaire +6 more sources
Image retrieval with hierarchical matching pursuit [PDF]
A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale nature of objects, most existing models perform feature extraction on a fixed ...
Bu, Shasha, Zhang, Yu-Jin
core +1 more source

