+ debug "^2.3.3" + define-property "^0.2.5" + extend-shallow "^2.0.1" + posix-character-classes "^0.1.0" + regex-not "^1.0.0" + snapdragon "^0.8.1" + to-regex "^3.0.1" + +ext@^1.1.2: + version "1.4.0" + resolved "https://registry.yarnpkg.com/ext/-/ext-1.4.0....
Architecture of the LLaVA model. The projection W is a simple linear layer in LLaVA or an MLP in LLaVA-1.5. Image from the paperVisual Instruction Tuning. One of the advantages of the method is that by using a pre-trained vision encoder and a pre-trained language model, only the visio...
Frequency of the runs per row (HeightCharacterfeatures). HALCON provides a number of pretrained OCR classifiers (see Solution Guide I, chapter 'OCR', section 'Pretrained OCR Fonts'). These pretrained OCR classifiers can be read directly withread_ocr_class_mlpand make it possible to read a wid...
(MLP). This baseline has as input the news content (TITLE and BODY text) encoding in TF-IDF type vectors. We chose this encoding vector because, although it is a classic and essential word representation, it still performs well in the fake news detection task when used with traditional ML...
To enable text segmentation whenMode='manual', reasonable parameters for the text model, including the expected character height and width, must be set usingset_text_model_param. In this case, the value ofOCRClassifierMLPis ignored. Since memory is allocated for the text model during the call...
Knowledge vault: A web-scale approach to probabilistic knowledge fusion. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2014: 601-610. (MLP) Liu Q, Jiang H, Evdokimov A, et al. Probabilistic reasoning via deep learning: Neural associati...
2.1 字符级单词嵌入表示模型 2.1.1 CharWNN Dos Santos等 人[16]在深度神经网络结构 (deep neural network, DNN)基础上提出了字符级单词神经 网络(character-level word neural network, CharWNN), CharWNN能够学习单词的字符级嵌入表示, 并将它 们与常用的单词级表示相关联, 进行词性标注(part– of–speech, ...
a convolutional neural network (CNN) or a multilayer perceptron (MLP). Moreover, it is strongly recommended to use a CNN based OCR classifier with rejection class or a MLP based classifiers that has been trained with regularization parameters (seeset_regularization_params_ocr_class_mlpand provides...
stored withwrite_ocr_class_mlp. To enable text segmentation whenMode='manual', reasonable parameters for the text model, including the expected character height and width, must be set usingset_text_model_param. In this case, the value ofOCRClassifieris ignored....
Frequency of the runs per row (not scale-invariant,HeightCharacterfeatures). HALCON provides a number of pretrained OCR classifiers (see Solution Guide I, chapter 'OCR', section 'Pretrained OCR Fonts'). These pretrained OCR classifiers can be read directly withread_ocr_class_mlpand make it poss...