Results 1 to 10 of about 1,700,637 (286)

Conformal-Based Surface Morphing and Multi-Scale Representation [PDF]

open access: yesAxioms, 2014
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]

open access: yesFrontiers in Neuroinformatics, 2021
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]

open access: yesCoRR, 2014
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

open access: yesCoRR, 2021
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

open access: yes2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
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]

open access: yesSSRN Electronic Journal, 2014
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

open access: yesIET Conference Proceedings, 2022
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]

open access: yes, 2017
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

open access: yesCoRR
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]

open access: yes, 2014
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

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