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channel selection
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SepPrune: Structured Pruning for Efficient Deep Speech Separation
Differentiable Channel Selection in Self-Attention For Person Re-Identification
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Dynamic Gradient Sparse Update for Edge Training
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models
Training Channel Selection for Learning-based 1-bit Precoding in Massive MU-MIMO
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network
PAMLR: A Passive-Active Multi-Armed Bandit-Based Solution for LoRa Channel Allocation
Joint Channel Selection using FedDRL in V2X
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
Learning Binary Color Filter Arrays with Trainable Hard Thresholding
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
Reference Channel Selection by Multi-Channel Masking for End-to-End Multi-Channel Speech Enhancement
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization
Novel entropy difference-based EEG channel selection technique for automated detection of ADHD
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
Sparsity-Driven EEG Channel Selection for Brain-Assisted Speech Enhancement
LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Multichannel Voice Trigger Detection Based on Transform-average-concatenate
Phase Synchrony Component Self-Organization in Brain Computer Interface
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios
ElectrodeNet -- A Deep Learning Based Sound Coding Strategy for Cochlear Implants
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images
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