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Found 13 papers, 4 papers with code
An inclusive review on deep learning techniques and their scope in handwriting recognition
This paper presents a survey on the existing studies of deep learning in handwriting recognition field.
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Graph Neural Networks (GNN) have emerged as a popular and standard approach for learning from graph-structured data.
Melting Pot 2.0
Melting Pot is a research tool developed to facilitate work on multi-agent artificial intelligence, and provides an evaluation protocol that measures generalization to novel social partners in a set of canonical test scenarios.
Lexicon and Attention based Handwritten Text Recognition System
The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives, It is a sub-domain of pattern recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System
In recent studies, combination of convolutional neural network and gated convolutional neural networks based models demonstrated less number of parameters in comparison to convolutional recurrent neural networks based models.
A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet
In this study, an end-to-end paragraph recognition system is presented with a lexicon decoder as a post-processing step.
Learning Robust Real-Time Cultural Transmission without Human Data
We provide a method for generating zero-shot, high recall cultural transmission in artificially intelligent agents.
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing
To cater to the dynamic service requirements of these verticals and meet the required quality-of-service (QoS) mentioned in the service-level agreement (SLA), network slices need to be isolated through dedicated elements and resources.
HCR-Net: A deep learning based script independent handwritten character recognition network
To address these limitations, we have proposed a script independent deep learning network for HCR research, called HCR-Net, that sets a new research direction for the field.
On the halo-mass and radial scale dependence of the lensing is low effect
It has been shown that the lensing amplitude of galaxies in the Baryon Oscillation Spectroscopic Survey (BOSS) is lower than expected given their clustering properties.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Building on the principles of openness and intelligence, there has been a concerted global effort from the operators towards enhancing the radio access network (RAN) architecture.
Core Cosmology Library: Precision Cosmological Predictions for LSST
As a result, predictions for correlation functions of galaxy clustering, galaxy-galaxy lensing and cosmic shear are demonstrated to be within a fraction of the expected statistical uncertainty of the observables for the models and in the range of scales of interest to LSST.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Disconnected Covariance of 2-point Functions in Large-Scale Structure
We verify the analytic covariance against the sample covariance from the galaxy mock simulations in two test cases: (1) the power spectrum multipole covariance, and (2) the joint covariance of the projected correlation function and the correlation function multipoles.
Cosmology and Nongalactic Astrophysics
