Results 21 to 30 of about 427,913 (167)
Adaptive feature representation for visual tracking [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Robust feature representation plays significant role in visual tracking. However, it remains a challenging issue, since many factors may affect the experimental performance. The existing method which combine different features by setting them equally with the fixed weight could hardly solve the issues, due to the different statistical properties of ...
Han, Yuqi +4 more
openaire +2 more sources
Network representation with clustering tree features [PDF]
Journal of Intelligent Information Systems, 2018 Representing and inferring interaction networks is a challenging and long-standing problem. Modern technological advances have led to a great increase in both volume and complexity of generated network data. The size of networks such as drug protein interaction networks or gene regulatory networks is constantly growing and multiple sources of ...
Pliakos, Konstantinos, Vens, Celine
openaire +1 more source
A Rapid Scalable Embedding and Mapping Model for Recommendation
IEEE Access, 2020 The recommendation systems based on deep neural networks show high accuracy and precision in advertising prediction and rating prediction tasks, but the performance declines when they encounter sparsity problems.
Suiyu Zhang, Cheng Yang, Wei Luo
doaj +1 more source
IEEE Access, 2019 Focusing on cross-dataset Automated Depression Recognition (ADR) by jointly exploring facial appearance and dynamics feature representations, we explore to propose a novel Latent Domain Adaptation Depression Recognition (latDADR) framework via ...
Jianwen Tao, Haote Xu
doaj +1 more source
Frontiers in Bioengineering and Biotechnology, 2020 RNA 5-hydroxymethylcytosine (5hmC) modification plays an important role in a series of biological processes. Characterization of its distributions in transcriptome is fundamentally important to reveal the biological functions of 5hmC.
Yuan Liu +6 more
doaj +1 more source
Untangling featural and conceptual object representations [PDF]
NeuroImage, 2019 AbstractHow are visual inputs transformed into conceptual representations by the human visual system? The contents of human perception, such as objects presented on a visual display, can reliably be decoded from voxel activation patterns in fMRI, and in evoked sensor activations in MEG and EEG.
Shatek, Sophia +3 more
openaire +3 more sources
Multi-Features Refinement and Aggregation for Medical Brain Segmentation
IEEE Access, 2020 Due to the complexity of the anatomical structure for human organs, medical image segmentation is always a challenging computer vision task. The Convolutional Neural Network (CNN) requires a rich feature representation, which not only needs the ...
Dongyuan Wu +4 more
doaj +1 more source
Representation of Deep Features using Radiologist defined Semantic Features [PDF]
2018 International Joint Conference on Neural Networks (IJCNN), 2018 Semantic features are common radiological traits used to characterize a lesion by a trained radiologist. These features have been recently formulated, quantified on a point scale in the context of lung nodules by our group. Certain radiological semantic traits have been shown to extremely predictive of malignancy [26].
Rahul, Paul +7 more
openaire +2 more sources
A Local Discrete Feature Histogram for Point Cloud Feature Representation
Applied SciencesLocal feature descriptors are a critical problem in computer vision; the majority of current approaches find it difficult to achieve a balance between descriptiveness, robustness, compactness, and efficiency.
Linjing Jia +5 more
doaj +1 more source
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks
Entropy, 2015 In some online social network services (SNSs), the members are allowed to label their relationships with others, and such relationships can be represented as the links with signed values (positive or negative).
Feng Liu +4 more
doaj +1 more source