Handwritten Digit Recognition

23 papers with code • 1 benchmarks • 5 datasets

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Latest papers with no code

Generalized Relevance Learning Grassmann Quantization

no code yet • 14 Mar 2024

The proposed model returns a set of prototype subspaces and a relevance vector.

Verification for Object Detection -- IBP IoU

no code yet • 30 Jan 2024

We introduce a novel Interval Bound Propagation (IBP) approach for the formal verification of object detection models, specifically targeting the Intersection over Union (IoU) metric.

Digital-analog hybrid matrix multiplication processor for optical neural networks

no code yet • 26 Jan 2024

Here, we propose a digital-analog hybrid optical computing architecture for ONNs, which utilizes digital optical inputs in the form of binary words.

Polariton lattices as binarized neuromorphic networks

no code yet • 14 Jan 2024

We introduce a novel neuromorphic network architecture based on a lattice of exciton-polariton condensates, intricately interconnected and energized through non-resonant optical pumping.

NeuroWrite: Predictive Handwritten Digit Classification using Deep Neural Networks

no code yet • 2 Nov 2023

In this article, we introduce NeuroWrite, a unique method for predicting the categorization of handwritten digits using deep neural networks.

Neuromorphic Hebbian learning with magnetic tunnel junction synapses

no code yet • 21 Aug 2023

Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency.

Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks

no code yet • 4 Jul 2023

The results after the comprehensive analysis of attack strategies clearly convey that untargeted and distance-based poisoning attacks have greater impacts in evading the classifier outcomes compared to targeted attacks in SFL

Quantum Neural Network for Quantum Neural Computing

no code yet • 15 May 2023

Neural networks have achieved impressive breakthroughs in both industry and academia.

Image Moment Invariants to Rotational Motion Blur

no code yet • 25 Mar 2023

Further, we achieve their invariance to similarity transform.

Composite Optimization Algorithms for Sigmoid Networks

no code yet • 1 Mar 2023

In this paper, we use composite optimization algorithms to solve sigmoid networks.