Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Self-Training Learning Document Binarization Framework
Adaptive document image binarization
Neural networks for document image preprocessing: state of the art
Goal-Directed Evaluation of Binarization Methods
Broken and degraded document images binarization
A binarization method for degraded document image using artificial neural network and interpolation inpainting
OCR binarization and image pre-processing for searching historical documents
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
DeepBE: Learning Deep Binary Encoding for Multi-label Classification
Semi-supervised learning of compact document representations with deep networks
ReBNet: Residual Binarized Neural Network
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Degraded document image binarization using structural symmetry of strokes
Adaptive methods for robust document image unterstanding
Learning to Classify Documents with Only a Small Positive Training Set
Document classification through image-based character embedding and wildcard training
Effective Self-Training For Parsing
A Fast Optimization Method for General Binary Code Learning.
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression
One-Class SVMs for Document Classification
Complex tourism systems: a visibility graph approach
visualization of nonlinear kernel models in neuroimaging by sensitivity maps .
Tandem hidden Markov models using deep belief networks for offline handwriting recognition
A network architecture for distributed multimedia systems
Image thresholding for optical character recognition and other applications requiring character image extraction