Copertina

Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chopin, Jeremy, Dahyot, Rozenn
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Benchmarking SAM2-based Trackers on FMOX
di: Aktas, Senem, et al.
Pubblicazione: (2025)

Benchmarking EfficientTAM on FMO datasets
di: Aktas, Senem, et al.
Pubblicazione: (2025)

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space
di: Salmona, Antoine, et al.
Pubblicazione: (2023)

Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
di: Tu, Dunwei, et al.
Pubblicazione: (2024)

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
di: Tang, Wenhao, et al.
Pubblicazione: (2024)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
di: Lu, Weiguo, et al.
Pubblicazione: (2024)

FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
di: Ji, Yuzhou, et al.
Pubblicazione: (2024)

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
di: Jing, Luru, et al.
Pubblicazione: (2026)

Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
di: Jeong, Yoonwoo, et al.
Pubblicazione: (2025)

DICE: Distilling Classifier-Free Guidance into Text Embeddings
di: Zhou, Zhenyu, et al.
Pubblicazione: (2025)

Efficient Learning of Convolution Weights as Gaussian Mixture Model Posteriors
di: Liang, Lifan
Pubblicazione: (2024)

PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
di: Ruan, Bo-Kai, et al.
Pubblicazione: (2025)

THEval. Evaluation Framework for Talking Head Video Generation
di: Quignon, Nabyl, et al.
Pubblicazione: (2025)

Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
di: Duan, Cong, et al.
Pubblicazione: (2023)

Gaussian Mixture Flow Matching Models
di: Chen, Hansheng, et al.
Pubblicazione: (2025)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
di: Santellani, Emanuele, et al.
Pubblicazione: (2024)

Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
di: Nagler, Laurenz, et al.
Pubblicazione: (2026)

Transformer-Driven Modeling of Variable Frequency Features for Classifying Student Engagement in Online Learning
di: Mandia, Sandeep, et al.
Pubblicazione: (2025)

Generating Multi-Center Classifier via Conditional Gaussian Distribution
di: Zhang, Zhemin, et al.
Pubblicazione: (2024)

Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
di: Goldwasser, Jeremy, et al.
Pubblicazione: (2025)

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance
di: Fu, Minghao, et al.
Pubblicazione: (2025)

EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
di: Sun, Shangquan, et al.
Pubblicazione: (2024)

Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
di: Zhang, Tianya, et al.
Pubblicazione: (2022)

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
di: Wang, Chong, et al.
Pubblicazione: (2023)

ReactionMamba: Generating Short & Long Human Reaction Sequences
di: Beg, Hajra Anwar, et al.
Pubblicazione: (2025)

Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations
di: Wang, Chao, et al.
Pubblicazione: (2025)

Perceptual Classifiers: Detecting Generative Images using Perceptual Features
di: Durbha, Krishna Srikar, et al.
Pubblicazione: (2025)

Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects
di: Chaudhry, Nadeem Jabbar, et al.
Pubblicazione: (2024)

Gaussian Mixture based Evidential Learning for Stereo Matching
di: Liu, Weide, et al.
Pubblicazione: (2024)

GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
di: Moradinasab, Nazanin, et al.
Pubblicazione: (2024)

Accurate Explanation Model for Image Classifiers using Class Association Embedding
di: Xie, Ruitao, et al.
Pubblicazione: (2024)

Beyond Real versus Fake Towards Intent-Aware Video Analysis
di: Atreya, Saurabh, et al.
Pubblicazione: (2025)

AI killed the video star. Audio-driven diffusion model for expressive talking head generation
di: Chopin, Baptiste, et al.
Pubblicazione: (2025)

Dimitra: Audio-driven Diffusion model for Expressive Talking Head Generation
di: Chopin, Baptiste, et al.
Pubblicazione: (2025)

Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling
di: Deng, Junli, et al.
Pubblicazione: (2024)

ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
di: Moradinasab, Nazanin, et al.
Pubblicazione: (2024)

Linear Anchored Gaussian Mixture Model for Location and Width Computations of Objects in Thick Line Shape
di: Nacereddine, Nafaa, et al.
Pubblicazione: (2024)

3D Gaussian Splatting Data Compression with Mixture of Priors
di: Liu, Lei, et al.
Pubblicazione: (2025)

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
di: Jin, In-Hwan, et al.
Pubblicazione: (2025)

Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga
di: Taniguchi, Takara, et al.
Pubblicazione: (2024)