Search Results for author:
Found 15 papers, 2 papers with code
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application
However, a significant drawback of IRWNNs is that the elationship between the hidden parameters (node)and the residual error (model performance) is difficult to be interpreted.
Online Decomposition of Surface Electromyogram into Individual Motor Unit Activities Using Progressive FastICA Peel-off
For decomposing experimental SEMG data, the proposed online method was able to extract an average of 12. 00 +- 3. 46 MUs per trial, with a matching rate of 90. 38% compared with results from the expert-guided offline decomposition.
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
Reliable automatic classification of colonoscopy images is of great significance in assessing the stage of colonic lesions and formulating appropriate treatment plans.
3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network
The topological disk-like 2D face image containing spatial and textural information is transformed from the sampled 3D face data through the face parameterization algorithm, and a specific 2D network called CPFNet is proposed to achieve the semantic segmentation of the 2D parameterized face data with multi-scale technologies and feature aggregation.
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC).
Light Field Depth Estimation via Stitched Epipolar Plane Images
This strategy involves determining the depth of such regions by progressing from the edges towards the interior, prioritizing accurate regions over coarse regions.
Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features
Here, we adopt an ODoS filter by merging the orientation information and magnitude information to highlight structure features for fissure enhancement, which can effectively distinguish between pulmonary fissures and clutters.
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
Extensive experimental results on a publicly available dataset from Myocardial pathology segmentation combining multi-sequence CMR (MyoPS 2020) demonstrate our method can achieve promising performance compared with other state-of-the-art methods.
The Post-impact Evolution of the X-ray Emitting Gas in SNR 1987A Viewed by XMM-Newton
In the last few years, the emission measure of the low-temperature plasma has been decreasing, indicating that the blast wave has left the main ER.
High Energy Astrophysical Phenomena
Chemical abundances in Sgr A East: evidence for a type Iax supernova remnant
We report evidence that SNR Sgr A East in the Galactic center resulted from a pure turbulent deflagration of a Chandrasekhar-mass carbon-oxygen WD, an explosion mechanism used for type Iax SNe.
High Energy Astrophysical Phenomena
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
Distributed statistical inference has recently attracted immense attention.
Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy
Finally, the stress distribution and the residual wrinkles of forehead skin were employed to evaluate the surgical effect.
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
First, the wide collection of data in the close-loop information flow of user and remote medical data center is discussed.
Global and Local Information Based Deep Network for Skin Lesion Segmentation
In this paper, a new deep fully convolutional neural network (FCNN) is proposed to automatically segment melanoma out of skin images by end-to-end learning with only pixels and labels as inputs.
Saliency Detection for Improving Object Proposals
Object proposals greatly benefit object detection task in recent state-of-the-art works.
