Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Handwritten Urdu character recognition using one-dimensional BLSTM classifier
A New Large Urdu Database for Off-Line Handwriting Recognition
Feature Extraction Techniques for Recognition of Malayalam Handwritten Characters: Review
Offline Handwriting Recognition on Devanagari Using a New Benchmark Dataset
High Accuracy Myanmar Handwritten Character Recognition using Hybrid approach through MICR and Neural Network
Accelerating and Compressing LSTM Based Model for Online Handwritten Chinese Character Recognition
Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks
Ligature based Urdu Nastaleeq sentence recognition using gated bidirectional long short term memory
Offline handwritten character recognition using neural network
Classification of offline gujarati handwritten characters
Design of a view based approach for Bengali Character recognition
A Four-Tier Annotated Urdu Handwritten Text Image Dataset for Multidisciplinary Research on Urdu Script
Beyond human recognition: A CNN-based framework for handwritten character recognition
Improving Off-line Handwritten Character Recognition with Hidden Markov Models
Improving Handwritten Arabic Character Recognition by Modeling Human Handwriting Distortions
A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks
Urdu Optical Character Recognition Systems: Present Contributions and Future Directions
Handwriting Arabic Character Recognition LeNet Using Neural Network
Handwritten English character recognition using neural network
OCR For Printed Urdu Script Using Feed Forward Neural Network
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Adaptation of Hybrid ANN/HMM Models Using Linear Hidden Transformations and Conservative Training
Combination 830-nm and 633-nm Light-Emitting Diode Phototherapy Shows Promise in the Treatment of Recalcitrant Psoriasis: Preliminary Findings
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
Accessing CUDA Features in the OpenGL Rendering Pipeline: A Case Study Using N-Body Simulation
Long Short Term Memory