Category:Pattern recognition
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branch of machine learning | |||||
미디어 올리기 | |||||
다음 종류에 속함 |
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하위 분류
다음은 이 분류에 속하는 하위 분류 4개 가운데 4개입니다.
A
- Automated pattern recognition (22 F)
P
- Perceptual shift ambigrams (5 F)
S
- Song identification (6 F)
"Pattern recognition" 분류에 속하는 미디어
다음은 이 분류에 속하는 파일 68개 가운데 68개입니다.
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3rd and 4th kind of Haar Feature.jpg 698 × 234; 11 KB
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ActivationFunctions.svg 1,058 × 606; 293 KB
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Ambigram Big Dick.gif 2,000 × 1,500; 26 KB
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Ambigram Clitoris animated.gif 540 × 405; 187 KB
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Back Propagation Example.svg 770 × 360; 269 KB
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Brain-to-text-decoding-spoken-phrases-from-phone-representations-in-the-brain-Video1.ogv 1 min 4 s, 1,024 × 768; 4.53 MB
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ClassificacioSupervisada.jpg 611 × 331; 31 KB
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Computer Vision Project on Barcode Scanner Mobile App for iOS.webm 23 s, 854 × 480; 625 KB
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Connect patterns measurement.png 873 × 855; 192 KB
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ConvolutionAndPooling.svg 839 × 208; 160 KB
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Crowding demo with duck.png 3,213 × 862; 3.14 MB
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Data3classes.png 602 × 397; 14 KB
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Deep Learning.jpg 1,239 × 1,012; 341 KB
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DeepInsight method to transform non-image data to 2D image for convolutional neural network architecture.pdf 1,239 × 1,629, 7쪽; 1.78 MB
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Different types of biclusters.jpg 1,152 × 576; 33 KB
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Fast Feature Extraction with CNNs with Pooling Layers.pdf 850 × 1,285, 10쪽; 291 KB
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FeatureSelectionToolbox1 screenshot.png 1,025 × 740; 46 KB
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GDL LOGO COLOR.jpg 512 × 512; 92 KB
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Graphical abstract-synth2real.jpg 1,125 × 345; 55 KB
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Handschrifterkennung semiskalarprodukt.png 1,317 × 726; 46 KB
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KNN detec.JPG 215 × 197; 5 KB
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Lane Detection Example.jpg 1,289 × 432; 45 KB
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Map1NN.png 603 × 397; 20 KB
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Map1NNReducedDataSet.png 611 × 401; 16 KB
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Map5NN.png 602 × 396; 21 KB
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Multi-Label Wireless Interference Identification with Convolutional Neural Networks.pdf 1,275 × 1,650, 6쪽; 346 KB
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Mustererkennung Schema.png 723 × 282; 6 KB
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Nature-and-Consequences-of-Biological-Reductionism-for-the-Immunological-Study-of-Infectious-Video 1.ogv 10 min 23 s, 640 × 480; 24.74 MB
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NeedForDeeperLayers.svg 834 × 547; 692 KB
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Neural Abstraction Pyramid.jpg 1,343 × 782; 253 KB
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NoSupervisada.jpg 697 × 347; 50 KB
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Patter .jpg 3,120 × 4,160; 4.41 MB
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Pattern 2.JPG 607 × 319; 16 KB
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Pattern 3.JPG 606 × 319; 30 KB
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Pattern 4.JPG 605 × 319; 20 KB
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Pattern 5.JPG 891 × 145; 15 KB
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Pattern 6.JPG 536 × 258; 19 KB
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PatternRecognition1.jpg 1,080 × 810; 402 KB
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PatternRecognition2.jpg 1,080 × 810; 398 KB
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PatternRecognitionSystem de.svg 825 × 301; 113 KB
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PatternRecognitionSystem.svg 825 × 301; 108 KB
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PerceptronOverview.svg 851 × 193; 363 KB
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Postal automation using machine learning techniques developed at UB.png 1,000 × 643; 70 KB
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Prm VJ fig1 featureTypesWithAlpha.png 668 × 668; 7 KB
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Project1 1.png 509 × 348; 22 KB
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Project1 2.png 491 × 335; 17 KB
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Prozess der Automatisierten Schmerzerkennung.png 1,792 × 677; 62 KB
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ReducedDataSet.png 608 × 402; 12 KB
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Schema della fasi di elaborazione dei dati del naso elettronico.jpg 1,280 × 720; 86 KB
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Simplified automated pain recognition process.png 1,829 × 677; 64 KB
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SVM detec.JPG 200 × 190; 6 KB
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VarSel.jpg 539 × 324; 28 KB
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Vision eines Schmerzmonitoring-Screens.png 1,100 × 1,022; 304 KB
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Vision of a pain monitoring system (Gruss & Walter, University Ulm).png 1,100 × 1,022; 299 KB