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Found 6 papers, 0 papers with code
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus
Existing research on music recommendation systems primarily focuses on recommending similar music, thereby often neglecting diverse and distinctive musical recordings.
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition
Our DMMG consists of a viewpoint variation min-max game and an edge perturbation min-max game.
Feature Selection Approaches for Optimising Music Emotion Recognition Methods
The result indicates that the performance of MER has improved for both Random Forest (RF) and Support Vector Regression (SVR) models by using SFS.
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement
Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs.
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
3D pose estimation has recently gained substantial interests in computer vision domain.
Ranked #35 on
3D Human Pose Estimation
on MPI-INF-3DHP
EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks
First, the localization accuracy can be degraded by the random signal fluctuations, which would influence conventional localization algorithms that simply learn handcrafted features from raw fingerprint data.
