Cover Image

A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Madhuri, G., Negi, Atul
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discriminative Dictionary Learning based on Statistical Methods
by: Madhuri, G., et al.
Published: (2021)

Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
by: Madhuri, G., et al.
Published: (2023)

Lightweight Road Environment Segmentation using Vector Quantization
by: Kwag, Jiyong, et al.
Published: (2025)

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
by: Fillioux, Leo, et al.
Published: (2025)

Learning a Pedestrian Social Behavior Dictionary
by: Johnson, Faith, et al.
Published: (2022)

Spectral Dictionary Learning for Generative Image Modeling
by: Kiruluta, Andrew
Published: (2025)

Neural Redshift: Random Networks are not Random Functions
by: Teney, Damien, et al.
Published: (2024)

Cancelable Biometric Template Generation Using Random Feature Vector Transformations
by: Sp, Ragendhu, et al.
Published: (2025)

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
by: Verma, Aayush Atul, et al.
Published: (2025)

Dynamic Dictionary Learning for Remote Sensing Image Segmentation
by: Zou, Xuechao, et al.
Published: (2025)

Learned Image Compression with Dictionary-based Entropy Model
by: Lu, Jingbo, et al.
Published: (2025)

Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)

Post Processing of image segmentation using Conditional Random Fields
by: Dhawan, Aashish, et al.
Published: (2025)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
by: Cao, Hao, et al.
Published: (2026)

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning
by: Hassan, Mohamed, et al.
Published: (2025)

Learning to Grasp Anything by Playing with Random Toys
by: Niu, Dantong, et al.
Published: (2025)

Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis
by: Dey, Neel, et al.
Published: (2024)

Random-coupled Neural Network
by: Liu, Haoran, et al.
Published: (2024)

Randomized Autoregressive Visual Generation
by: Yu, Qihang, et al.
Published: (2024)

Inversion of Magnetic Data using Learned Dictionaries and Scale Space
by: Ahamed, Shadab, et al.
Published: (2025)

AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal
by: Oh, Changsuk, et al.
Published: (2023)

Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
by: Mihai-Cristian, Pîrvu, et al.
Published: (2025)

Detection of Cyberbullying in GIF using AI
by: Dave, Pal, et al.
Published: (2025)

Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link Model
by: Zhang, Yanting, et al.
Published: (2023)

LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering
by: Mamun, Tasnia Binte, et al.
Published: (2025)

Attention Mechanism in Randomized Time Warping
by: Hiraoka, Yutaro, et al.
Published: (2025)

Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning
by: Todoran, Alexandru-Raul, et al.
Published: (2024)

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
by: Fel, Thomas, et al.
Published: (2025)

NOLA: Compressing LoRA using Linear Combination of Random Basis
by: Koohpayegani, Soroush Abbasi, et al.
Published: (2023)

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
by: Liang, Hanzhe, et al.
Published: (2025)

Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
by: Luo, Sheng, et al.
Published: (2025)

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2024)

Neural Markov Random Field for Stereo Matching
by: Guan, Tongfan, et al.
Published: (2024)

Rethinking Random Masking in Self-Distillation on ViT
by: Seong, Jihyeon, et al.
Published: (2025)

Data Augmentation Through Random Style Replacement
by: Yang, Qikai, et al.
Published: (2025)

Autoregressive Image Generation with Randomized Parallel Decoding
by: Li, Haopeng, et al.
Published: (2025)

Random Walk on Point Clouds for Feature Detection
by: Zhang, Yuhe, et al.
Published: (2026)

GeMS: Efficient Gaussian Splatting for Extreme Motion Blur
by: Matta, Gopi Raju, et al.
Published: (2025)

Dictionary-based Framework for Interpretable and Consistent Object Parsing
by: Zhang, Tiezheng, et al.
Published: (2025)

VQA-Levels: A Hierarchical Approach for Classifying Questions in VQA
by: Madaka, Madhuri Latha, et al.
Published: (2025)