Cover Image

A Hybrid Multi-Well Hopfield-CNN with Feature Extraction and K-Means for MNIST Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Farooq, Ahmed
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures
by: Alzahem, Ayyub, et al.
Published: (2024)

Vision Hopfield Memory Networks
by: Wang, Jianfeng, et al.
Published: (2026)

Multi-Modal Video Feature Extraction for Popularity Prediction
by: Liu, Haixu, et al.
Published: (2025)

Placenta Accreta Spectrum Detection Using an MRI-based Hybrid CNN-Transformer Model
by: Ali, Sumaiya, et al.
Published: (2025)

MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
by: Shaeri, Pouya, et al.
Published: (2025)

From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)

Optimizing CNN Architectures for Advanced Thoracic Disease Classification
by: Mirthipati, Tejas
Published: (2025)

Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing
by: Liu, Huanbai, et al.
Published: (2024)

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST
by: Wu, Fuping, et al.
Published: (2025)

Mean-field Chaos Diffusion Models
by: Park, Sungwoo, et al.
Published: (2024)

Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
by: Islam, Md Rafid, et al.
Published: (2025)

WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
by: Wang, Bin, et al.
Published: (2024)

MRD-LiNet: A Novel Lightweight Hybrid CNN with Gradient-Guided Unlearning for Improved Drought Stress Identification
by: Patra, Aswini Kumar, et al.
Published: (2025)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
by: Zaech, Jan-Nico, et al.
Published: (2023)

CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices
by: Hamid, Akif, et al.
Published: (2025)

Hybrid Quantum-Classical Model for Image Classification
by: Shahzad, Muhammad Adnan
Published: (2025)

ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction
by: Hagerman, David, et al.
Published: (2026)

SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
by: Ashraf, S. M. Nabil, et al.
Published: (2023)

Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST
by: Nezović, Anida, et al.
Published: (2025)

Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
by: Tanbhir, Gazi, et al.
Published: (2025)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
by: Kim, Minung, et al.
Published: (2025)

Building Efficient Lightweight CNN Models
by: Isong, Nathan
Published: (2025)

Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation
by: Gupta, Ravi Kant, et al.
Published: (2025)

Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
by: Kheiri, Farnaz, et al.
Published: (2026)

Flying By ML -- CNN Inversion of Affine Transforms
by: Van Warren, L.
Published: (2023)

CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction
by: Meng, Chunlei, et al.
Published: (2024)

A Contrastive Learning Framework Empowered by Attention-based Feature Adaptation for Street-View Image Classification
by: You, Qi, et al.
Published: (2026)

SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
by: Erdogan, Mete, et al.
Published: (2025)

MobilePlantViT: A Mobile-friendly Hybrid ViT for Generalized Plant Disease Image Classification
by: Tonmoy, Moshiur Rahman, et al.
Published: (2025)

Multi-Head Encoding for Extreme Label Classification
by: Liang, Daojun, et al.
Published: (2024)

EGR-Net: A Novel Embedding Gramian Representation CNN for Intelligent Fault Diagnosis
by: Jia, Linshan
Published: (2025)

Towards Multi-dimensional Explanation Alignment for Medical Classification
by: Hu, Lijie, et al.
Published: (2024)

Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
by: Lin, Jerry Chun-Wei, et al.
Published: (2024)

A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction
by: Neelam, Harish
Published: (2024)

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
by: Shang, Xinyi, et al.
Published: (2026)

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)

SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms
by: Zhu, Yuzhou, et al.
Published: (2025)

DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability
by: Dhibar, Sibasish
Published: (2025)

Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
by: Mustari, Ashfiqun, et al.
Published: (2024)