Tft comp的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

應用張量增強技術於物件辨識

為了解決Tft comp的問題，作者賈平陽 這樣論述：

LIST OF FIGURES xivLIST OF TABLES xviiiABBREVIATIONS xxCHAPTER 1 ORGANIZATION 11.1 Motivation 11.2 Contribution 31.3 Dissertation Organization 3CHAPTER 2 INTRODUCTION 52.1 Object Recognition Overview 52.2 Image Enhancement for Object Recognition 82.2.1 Face Image Enhancement Meth

od for Human Face Recognition System 82.2.2 Defect Feature Enhancement Method for Industrial Product Defect Recognition 112.2.3 Image Enhancement for Object Recognition 162.3 Tensor 172.3.1 Tensor Preliminaries 172.3.2 High-Order Singular Value Decomposition 212.4 Wavelet Transform in Digital

Image Processing 242.5 Database for Object Recognition 262.5.1 Color Face Image Database 262.5.2 Smartphone Physical Button Image Database 312.6 Summary 34CHAPTER 3 COLOR IMAGE ANALYSIS 353.1 Retinex Model-based Color Image Analysis 353.2 Tensor-based Color Image Analysis 383.3 Summary 44C

HAPTER 4 COLOR FACE IMAGE ENHANCEMENT FOR FACE RECOGNITION 464.1 Color Face Image Enhancement Using Multiple Layer Retinex Model 464.1.1 Multiple Layer Representation of Color Face Image 474.1.2 Multiple Layer Retinex-based Color Face Image Enhancement 504.2 Color Face Image Enhancement based o

n Tensor 594.3 Experimental Result and Discussion 644.3.1 Color Face Image Quality Assessment 654.3.2 Result by Handcraft Face Recognition Model 674.3.3 Result by Deep Learning-based Face Recognition Model 764.4 Summary 90CHAPTER 5 DEFECT FEATURE ENHANCEMENT FOR SMARTPHONE BUTTON INSPECTION

925.1 Wavelet Subband-based Tensor (WST) 925.1.1 Wavelet Subband-based Tensor and its HOSVD 925.1.2 HOSVD Component of The WST Tensor Analysis 965.2 Smartphone Button Defect Feature Enhancement using WST 1025.3 Adaptive Smartphone Button Defect Feature Enhancement based on WST 1075.4 Experiment

al Result and Discussion 1135.5 Summary 118CHAPTER 6 CONCLUSION AND FUTURE WORK 1196.1 Conclusion 1196.2 Future Work 122REFERENCES 123BIOGRAPHY 134PUBLICATION LIST 135