Results 61 to 70 of about 1,699,128 (261)

Learning and Matching Multi-View Descriptors for Registration of Point Clouds

, 2018
Critical to the registration of point clouds is the establishment of a set of accurate correspondences between points in 3D space. The correspondence problem is generally addressed by the design of discriminative 3D local descriptors on the one hand, and
A.E. Johnson, Angela Dai, DG Lowe, Emanuele Rodolà, F Endres, F Fraundorfer, F Tombari, François Pomerleau, GF Cooper, H Huang, J Johnson, J Yang, JL Schönberger, KM Yi, MG Dissanayake, MJ Black, N Snavely, PJ Besl, Q-Y Zhou, R Raguram, S Li, T Shen   +21 more
core   +2 more sources

A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data

IEEE Access, 2021
Clustering data with both numeric and categorical attributes is of great importance as such data are ubiquitous in real-world problems. Multi-view learning approaches have proven to be more effective and having better generalisation ability compared to ...
Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao   +5 more
doaj   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Learning multi-view neighborhood preserving projections [PDF]

, 2011
We address the problem of metric learning for multi-view data, namely the construction of embedding projections from data in different representations into a shared feature space, such that the Euclidean distance in this space provides a meaningful ...
Lampert, Christoph, Quadrianto, Novi
core   +1 more source

DeepMVS: Learning Multi-view Stereopsis [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce a set of plane-sweep volumes and use the proposed DeepMVS network to predict high-quality disparity maps.
Huang, Po-Han, Matzen, Kevin, Kopf, Johannes, Ahuja, Narendra, Huang, Jia-Bin   +4 more
openaire   +2 more sources

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification

Journal of King Saud University: Computer and Information Sciences
Despite significant advancements in multi-view multi-label learning driven by its broad applicability, real-world scenarios frequently suffer from dual incompleteness in both view and label spaces due to data acquisition uncertainties. The incompleteness
Shenrun Ding, Jiarui Chen, Tongwei Gao, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +1 more source

Multi-Task Multi-View Learning Based on Cooperative Multi-Objective Optimization

IEEE Access, 2018
Traditional multi-task multi-view (MTMV) models work under the single-objective learning framework and cannot incorporate too many regularization terms, which are primarily attributed to the utilization of the conventional numerical optimization methods.
Di Zhou, Jun Wang, Bin Jiang, Hua Guo, Yajun Li   +4 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Multi-view Graph Representation Learning Beyond Homophily

ACM Transactions on Knowledge Discovery from Data, 2023
Unsupervised graph representation learning (GRL) aims at distilling diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from labels, recent representation learning methods usually adopt self-supervised learning, and embeddings are learned by solving a handcrafted auxiliary task (so-called pretext ...
Bei Lin, You Li, Ning Gui, Zhuopeng Xu, Zhiwu Yu   +4 more
openaire   +2 more sources