Jenal et al., 2020 - Google Patents
A hand written digit recognition based learning android applicationJenal et al., 2020
View PDF- Document ID
- 13434414994942836205
- Author
- Jenal S
- Rana D
- Pradhan S
- Publication year
- Publication venue
- PalArch's Journal of Archaeology of Egypt/Egyptology
External Links
Snippet
ABSTRACT The Hand Written Digit Recognition is an interesting topic which comes under classification model, in current date a lot of work has been done using this technique. This paper works on the same model and technique but directed towards a learning application …
- 230000001537 neural 0 abstract description 24
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20170091619A1 (en) | Selective backpropagation | |
| CN109816032A (en) | Zero sample classification method and apparatus of unbiased mapping based on production confrontation network | |
| US12505348B2 (en) | Personalized neural network pruning | |
| CN114626461A (en) | A cross-domain object detection method based on domain adaptation | |
| US20220156528A1 (en) | Distance-based boundary aware semantic segmentation | |
| WO2020232840A1 (en) | Vehicle multi-attribute identification method and device employing neural network structure search, and medium | |
| US20220101087A1 (en) | Multi-modal representation based event localization | |
| CN107247952B (en) | Visual Saliency Detection Method Based on Deeply Supervised Recurrent Convolutional Neural Networks | |
| CN106874959A (en) | A kind of multiple dimensioned scanning cascade forestry practises the training method of machine | |
| CN113870863A (en) | Voiceprint recognition method and device, storage medium and electronic equipment | |
| CN117351354A (en) | Lightweight remote sensing image target detection method based on improved MobileViT | |
| Mai et al. | From efficient multimodal models to world models: A survey | |
| US20240412076A1 (en) | Pre-processing for deep neural network compilation using graph neural networks | |
| Jenal et al. | A hand written digit recognition based learning android application | |
| WO2023249821A1 (en) | Adapters for quantization | |
| US12149716B2 (en) | Contrastive object representation learning from temporal data | |
| US20250356185A1 (en) | Sparse high rank adapters and their hardware-software co-design | |
| US20250124265A1 (en) | Practical activation range restriction for neural network quantization | |
| US20230419087A1 (en) | Adapters for quantization | |
| CN116363409B (en) | A method for classification of airborne and spaceborne remote sensing scenes based on high-precision full-add network | |
| Mulya | Classification of Hijaiyah Letters Using Hybrid CNN-CatBoost | |
| CN120917459A (en) | Forgetless dynamic class incremental learning | |
| US20250148358A1 (en) | Training-free architecture search for efficient vision transformers via approximated attention statistics | |
| Abudhagir et al. | Faster rcnn for face detection on a facenet model | |
| US20250094793A1 (en) | RE-ARRANGING FEED FORWARD NETWORKS (FFNs) IN TRANSFORMER-BASED MODELS |