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Binarization

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Showing 401–433 of 433 papers

TitleStatusHype
IronMask: Modular Architecture for Protecting Deep Face Template—0
K-Algorithm A Modified Technique for Noise Removal in Handwritten Documents—0
Ki-67 Index Measurement in Breast Cancer Using Digital Image Analysis—0
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks—0
Layer-Wise Searching for 1-Bit Detectors—0
LCFRS binarization and debinarization for directional parsing—0
LDEB -- Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues—0
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation—0
Learning Deep Binary Descriptor With Multi-Quantization—0
Learning Discrete Weights and Activations Using the Local Reparameterization Trick—0
Learning Document Image Binarization from Data—0
Learning Interpretable Differentiable Logic Networks—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing—0
Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding—0
Learning to Hash with Binary Deep Neural Network—0
Learning to Rank Binary Codes—0
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection—0
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script—0
Local Binary Pattern Networks—0
Local Binary Pattern Networks for Character Recognition—0
Matrix and tensor decompositions for training binary neural networks—0
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?—0
Method of Tracking and Analysis of Fluorescent-Labeled Cells Using Automatic Thresholding and Labeling—0
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression—0
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning—0
MoBiNet: A Mobile Binary Network for Image Classification—0
Model compression as constrained optimization, with application to neural nets. Part II: quantization—0
Modified Segmentation Algorithm for Recognition of Older Geez Scripts Written on Vellum—0
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error—0
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
Multimodal registration of FISH and nanoSIMS images using convolutional neural network models—0
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