multiview feature fusion representations (MVFFR)Interictal epileptiform spikes (IES) of scalp electroencephalogram (EEG) signals have a strong relation with the epileptogenic region. Since IES are highly unlikely to be detected in scalp EEG signals, the primary diagnosis depends heavily on the visual...
CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition Latest advancements in vision technology offer an evident impact on multi-object recognition and scene understanding. Such scene-understanding task is a de... AA Rafique,YY Ghadi,SA Alsuhibany,... - 计算机,材料和连续体(...
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion Learning an ideal metric is crucial to many tasks in computer vision. Diverse feature representations may combat this problem from different aspects; as vi... W Yang,W Zhang,W Lin,... - 《IEEE Tran...
The contrast and resolution of images obtained with optical microscopes can be improved by deconvolution and computational fusion of multiple views of the same sample, but these methods are computationally expensive for large datasets. Here we describe theoretical and practical advances in algorithm and ...
We also learn an adaptive fusion weight for each camera view to reflect its feature quality in order to reduce the chance that good features are undesirably corrupted by "bad" views. The fusion model is trained end-to-end with the pose estimation network, and can be directly applied to ...
Accordingly, we introduce a novel method to construct a layer feature model for a profile-based solution that allows the fusion of features for multiview depth images. This model enables recognition from several viewpoints with low complexity at a real-time running speed of 63 fps for four ...
The second challenge is addressed by a multiview CNN fusion model through a combination layer connecting the representation layers of RGB view and depth view. Comprehensive experiments on four benchmark datasets demonstrate the significant and consistent improvements of the proposed approach over other ...
In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization?based techniques. It is ...
Custom labels, tally, audio meters and more! Blackmagic MultiViews feature advanced monitoring tools that can be displayed with your video. You get custom labels, audio meters, tally indicators and more! You can also choose which audio source is routed to the video output. The on screen source...
2.31 TPAMI21 Multi-view Clustering: A Scalable and Parameter-free Bipartite Graph Fusion Method(matlab, fvnh) 3. Self-representation based methods Self-representation means that each data sample is expressed by a linear combination of other samples in the same subspace. ...