👨🏽‍💻 Domiziano's Notes

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      • 3D Face Recognition
      • All (Probes )Against All (Gallery)
      • Anti-Spoofing Evaluation
      • Bertillonage
      • Biometric traits requirements
      • Comparing Face with other biometric traits
      • Complete All Against All
      • Cumulative Match Score and Cumulative Match Characteristic Curve (CMS and CMC)
      • Decidability value
      • Detection and Identification Rate at rank K (DIR)
      • Doddington Zoo
      • Ear Recognition
      • EBGM - Elastic Bunch Graph Matching
      • Equal Error Rate
      • Evaluation between systems in Face Recognition
      • Face Localization - Hsu, Mottaleb and Jain algorithm
      • Face Localization - Viola Jones algorithm
      • Face Recognizer
      • Face Representations
      • False Acceptance Rate and False Rejection Rate
      • Fingerprint Recognition
      • Genuine Acceptance Rate, Genuine Rejection Rate, and their relationship with the other rates
      • Global (or holistic) methods vs Local methods
      • Haar features
      • Impostor and Client score distributions
      • Iris Recognition
      • LBP - Local Binary Pattern
      • Localization performance evaluation
      • Multibiometric systems
      • Open and Closed set identification
      • Performance Evaluation
      • Popular Datasets
      • Possible spaces in which represent a face
      • Problems in biometrics systems
      • Problems with Face Recognition
      • Reliability of an Identification System
      • ROC, DET and AUC
      • Sample, Templates, Probe, and Gallery sets
      • Spoofing in Face Recognition
      • Text-dependency and User-dependency
      • Threshold in Biometric Verification
      • Verification, Identification, Re-Identification, and Continuous Identification.
      • Wavelet Transforms vs Fourier Transforms
      • Akamai
      • Algorand
      • Anonymity on the Internet
      • ASICs
      • Atomic Commit
      • Bitcoin
      • Bitcoin Address Generation
      • CAP Theorem
      • Chandy-Lamport Protocol for Distributed Snapshot
      • Coinbase Transaction
      • Consistency of intersection and union of cuts
      • Dark Web
      • Deadlock
      • Decentralized vs. Distributed
      • Different Types of Blockchain
      • Diffie Hellman protocol
      • Distributed System
      • Double Spending
      • Ethereum
      • Failure Detector
      • Fork (in Blockchain)
      • GPDR
      • Hash Function
      • Hashing on the Blockchain
      • Lamport Clock
      • Light Nodes vs Full Nodes
      • LMD-GHOST and FFG
      • Lower Bounds in Consensus
      • Offline Performance Evaluation
      • Paxos
      • Peer to Peer
      • Proof of Stake
      • Proof of Work
      • Pseudonimity
      • Public Key Cryptography
      • Pump and Dump
      • Safety vs Liveness
      • Script
      • Smart Contracts
      • Space-Time Diagram
      • Terminology - History, Run, Local State, Global state, and Cut
      • The Blockchain Technology
      • The Merge
      • TOR - The Onion Router
      • Transaction Model and UTXOs
      • Energy Games
        • Index - Advanced Machine Learning
        • Index - Biometric Systems
        • Index - Blockchain and Distributed Ledger Technologies
        • Index - Deep Learning
        • Index - Distributed Systems
        • Index - Linear Algebra
        • Linear Maps
        • Matrix
        • Vector Lengths and Distances
        • Vector Space
        • 3D Object Detection
        • Activation Functions
        • AdaBoost
        • Autoencoders
        • Backpropagation
        • Batch Normalization
        • BERT
        • BYOL
        • Classification
        • Contrastive Learning
        • Convolutional Neural Networks
        • Curse of dimesionality
        • Data in Machine Learning
        • Deep Learning
        • Deep ReLU Networks
        • Deep Representations for Visual Search
        • Distillation
        • Double Descent
        • Dropout
        • Early Stopping
        • Embeddings
        • Embodied AI
        • Entropy
        • Examples of Sequence Modelling Problems
        • Fast R-CNN
        • Faster R-CNN
        • Generative Models
        • Geometric Deep Learning
        • Gradient
        • Gradient Descent
        • Graph Neural Networks
        • Hyperbolic Deep Learning
        • Hyperparameter tuning and Transfer Learning
        • Invariances and Equivariances
        • Jensen’s inequality
        • K-Fold Cross Validation
        • Kullback-Leibler divergence
        • LDA - Linear Discriminant Analysis
        • Linear Regression
        • Logistic Regression
        • Long Short Term Memory (LSTMs)
        • Mask R-CNN
        • Meta-Learning
        • MoCo V1 & V2
        • Multi Layer Perceptron
        • Neural Network
        • Non-Linear Models
        • Object Detection
        • Object Search
        • Overfitting and Underfitting
        • PCA - Principal Component Analysis
        • Person Search
        • Polynomial Regression
        • Pose Forecasting
        • Prior Knowledge
        • R-CNN
        • Recurrent Neural Networks (RNN)
        • Regularization
        • Selective Search
        • Self-Supervised Learning
        • Semantic Search
        • Semantic Segmentation
        • Sequence Models
        • SIFT Descriptor
        • SimCLR
        • SimSiam
        • Single Stage Object Detectors
        • Social Navigation
        • Supervised and Semi-Supervised Systems
        • Support Vector Machines
        • Temporal Convolutional Networks (TCN)
        • The Stone-Weierstrass theorem
        • Transformers
        • Visual Search
        • Fundamentals of Data Science
        • Human-Computer Interaction on the Web
        • BS - Q&A for Oral Exam (in Italian)
        • FDS - Concepts for the Final quiz
        • HCI - Domande e Risposte
        • Adversarial Attacks on GANs
        • Generative Adversarial Networks
        • Manifold Hypothesis
      • README
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