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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 3304 papers

TitleStatusHype
ESPACE: Dimensionality Reduction of Activations for Model Compression—0
Random-projection ensemble dimension reductionCode0
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability—0
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
On metric choice in dimension reduction for Fréchet regression—0
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion—0
A Generalized Mean Approach for Distributed-PCA—0
Pseudo-Non-Linear Data Augmentation via Energy Minimization—0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
Knowledge Discovery using Unsupervised Cognition—0
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation—0
Wireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface—0
Factors in Fashion: Factor Analysis towards the Mode—0
Sparse Modelling for Feature Learning in High Dimensional Data—0
Implementing NLPs in industrial process modeling: Addressing Categorical Variables—0
TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction—0
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond—0
Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace—0
Stochastic neighborhood embedding and the gradient flow of relative entropy—0
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games—0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate DataCode0
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions—0
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning—0
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified