[PDF] Top 20 An Automatic Annotation Algorithm for Deep Learning Image Datasets Based on HOG Features
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An Automatic Annotation Algorithm for Deep Learning Image Datasets Based on HOG Features
... The algorithm is robust to initialization and has a large overhead in computation ...separation algorithm, so the dimension of the HOG features is ...clustering algorithm based ... See full document
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Online Full Text
... required image for an ordinary user is a challenging ...content-based image retrieval (CBIR) compute relevance based on the visual similarity of low-level image features such as ... See full document
8
A Survey of Fine Grained Image Classification Based on Deep Learning
... of features is also a key factor in determining the accuracy of image ...local features such as SIFT (Scale invariant feature transform)[13] or HOG (histogram of oriented gradient)[14] from ... See full document
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Research on iris image encryption based on deep learning
... Deep learning uses a nonlinear neural network model to transform original data into higher-level abstract represen- tations through nonlinear ...transformations. Deep learning uses an ... See full document
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A Survey in Deep Learning Model for Image Annotation
... learned based on attention mechanisms that work on convolutional neural network, and gated recurrent neural ...network learning model (RNN-LM) that based on attention was used for a decoder in neural ... See full document
10
Research on Image Generation and Style Transfer Algorithm Based on Deep Learning
... another image. The feedforward image conversion task has been widely ...the deep convolutional neural network, which spans the pixel-by-pixel difference [2], by putting the CRF as an RNN, train with ... See full document
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Automatic Image Annotation using SURF Features
... for automatic image ...instance learning (MIL) based and global feature based ...each image is divided into blocks so that MIL method could be used to extract features ... See full document
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Brain MR Image Classification Based on Deep Features by Using Extreme Learning Machines
... assisted automatic detection and diagnosis systems in literature ...(MFCM) algorithm for tumor detection from brain MR ...the features from brain MR images were extracted by using wavelet ... See full document
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Tags Re-ranking Using Multi-level Features in Automatic Image Annotation
... for automatic image annotation(AIA): 1- Generative model-based AIA method, which predicts the image tags based on a joint probabilistic model of image features and ... See full document
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Automatic face image annotation using machine learning techniques
... AdaBoost algorithm for detection of human ...network based frontal face detection model. In their work, an image is considered and a small sliding window is attached to the ...facial features ... See full document
6
Automatic Plant Detection Using HOG and LBP Features With SVM
... an automatic plant identification tool is very useful even for experienced botanists to identify the vast number of ...extract features and multiclass Support Vector Machine (SVM) is applied to classify the ... See full document
13
New Method for Image Features Extracting Based on Enhanced Chain Code
... Image features are useful extractable attributes of images. Examples of image features are the histogram and the symmetry of a region of ... See full document
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Title: EXTRACTING RELATIVE FACE NAMING SIMILARITY ON LOW SUPERIORITY IMAGE USING MIL
... Multiple-Instance Learning (MIL) was proposed for machine learning to solve the ambiguity of the labeling process by making weaker assumptions about the labeling ...this learning scheme, instead of ... See full document
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Privacy Preservation Approach using K-Anonymity Chinese Remainder Theorem for Intrusion Detection
... C4.5 Algorithm is the extension of ID3 algorithm ...of learning from large datasets ...the algorithm is based on an assumption the complexity of decision tree and the amount of ... See full document
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AN IOT BASED FRAMEWORK FOR STUDENTS INTERACTION AND PLAGIARISM DETECTION IN PROGRAMMING ASSIGNMENTS
... Unified Concept-based MIRS using Ontology is proposed to create multi-modal MIRS to tackle the limitation of media format problems. The system could apply input query with text, image, video or audio format ... See full document
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Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... different deep learning architecture and the availability of various high resolution image datasets, the field of Remote Sensing Scene Classification of high resolution (RSSCHR) images has ... See full document
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Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements
... Our problem presents some similarities with the plagiarism detection task, where subtle lexical and structural similari- ties have to be identified to spot suspicious plagiarized texts (Potthast et al., 2010). For this ... See full document
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Human-level Moving Object Recognition from Traffic Video
... making. Deep learning provides us an effective way to understand big data with a ...whole image once. An alternative way is to separate image and determine a small window for each moving ... See full document
14
A Correlation Approach for Automatic Image Annotation
... and image means of repre- sentation, as we would like to be able to extract as much detailed information as possible for the learning ...the image data into scale invariant coordi- nates relative to ... See full document
12
EEG-based image classification via a region-level stacked bi-directional deep learning framework
... bi-directional deep learning framework upon different frequancy bands, we carry out the second phase of experiments on the same dataset ImageNet-EEG ... See full document
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