End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
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Updated
Nov 3, 2018
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
The t-SNE visualization and actual query results of the deep feature embeddings for the paper "Supervised Deep Feature Embedding with Hand Crafted Feature" that has been accepted by the IEEE Transactions on Image Processing.
The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)
An Unsupervised Framework for Rank Selection and Fusion
Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset
Pytorch code for "CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention."
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Features injected recurrent neural networks for short-term traffic speed prediction
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
🏞 A content-based image retrieval (CBIR) system
Bimodal Adaptive Feature Fusion Network for Person Verification
Official implementation of "Amplifying action-context greater: Image segmentation-guided intraoperative active bleeding detection" (MICCAI workshop 2022).
[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset
Compression and Reinforced Variation (CRV) Method
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
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