Results 11 to 20 of about 181,047 (259)
Multi-view Metric Learning for Multi-view Video Summarization [PDF]
2016 International Conference on Cyberworlds (CW), 2016 Traditional methods on video summarization are designed to generate summaries for single-view video records, and thus they cannot fully exploit the mutual information in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization.
Linbo Wang 0001 +3 more
openaire +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.
Po-Han Huang +4 more
openaire +2 more sources
Multi-view learning-based heterogeneous network representation learning
Journal of King Saud University: Computer and Information Sciences, 2023 Network representation learning is an important tool for extracting latent features from heterogeneous networks to enhance downstream analysis tasks. However, for heterogeneous networks in the era of big data, their heterogeneity, unseen network noises ...
Lei Chen, Yuan Li, Xingye Deng
doaj +1 more source
Remote Sensing, 2020 This paper introduces a novel multi-view multi-learner (MVML) active learning method, in which the different views are generated by a genetic algorithm (GA).
Nasehe Jamshidpour +2 more
doaj +1 more source
IMPROVING DEEP LEARNING BASED SEMANTIC SEGMENTATION WITH MULTI VIEW OUTLIER CORRECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The goal of this paper is to use transfer learning for semi supervised semantic segmentation in 2D images: given a pretrained deep convolutional network (DCNN), our aim is to adapt it to a new camera-sensor system by enforcing predictions to be ...
T. Peters, C. Brenner, M. Song
doaj +1 more source
Recognition of RNA-Binding Protein by Fusion of Multi-view and Multi-label Learning
Jisuanji kexue yu tansuo, 2021 RNA-binding protein (RBP) is a total name of a class of proteins that bind to RNA (ribonucleic acid) along with the process of RNA??s regulation metabolic.
YANG Haitao, DENG Zhaohong, WANG Shitong
doaj +1 more source
Multi-view learning for software defect prediction [PDF]
e-Informatica Software Engineering Journal, 2021 Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector.
Elife Ozturk Kiyak +2 more
doaj +1 more source
Multi-View Reinforcement Learning
CoRR, 2019 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Minne Li +3 more
openaire +3 more sources
Multi-View Multi-Label Learning With View-Label-Specific Features
IEEE Access, 2019 In multi-view multi-label learning, each object is represented by multiple data views, and belongs to multiple class labels simultaneously. Generally, all the data views have a contribution to the multi-label learning task, but their contributions are ...
Jun Huang +5 more
doaj +1 more source
Multi-View Representation Learning via Dual Optimal Transportation
IEEE Access, 2021 Recently, multi-view representation learning has gained rapid growth in various fields. Most of previous multi-view learning methods rely on strong notions of distances that often provide no useful gradients in deep network training, which greatly ...
Peng Li +4 more
doaj +1 more source