Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification
Convolutional Neural Networks for Document Image Classification
Neural networks for document image preprocessing: state of the art
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
A survey of document image classification: problem statement, classifier architecture and performance evaluation
parallel training for deep stacking networks .
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification
Scalable stacking and learning for building deep architectures
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks
Multi-column Deep Neural Networks for Image Classification
Tensor Deep Stacking Networks
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network
Cross-layer features in convolutional neural networks for generic classification tasks
Convolutional Deep Neural Networks for Document-Based Question Answering
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Visual appearance based document image classification
Flexible, High Performance Convolutional Neural Networks for Image Classification
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Combined convolutional and recurrent neural networks for hierarchical classification of images
Coarse-to-fine trained multi-scale Convolutional Neural Networks for image classification
CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark
The Business Model: Recent Developments and Future Research
Design of 3D FFTs with FPGA clusters
Analysis of quadratic dickson based envelope detectors for IoE sensor node applications
PANDA: Pose Aligned Networks for Deep Attribute Modeling