Category - University
2024
PMR Basic Assumptions for Efficient Model Representation
PMR Basic Assumptions for Efficient Model Representation
180-2
180-2
PMR Introduction & Assumptions for Efficient Representation
PMR Introduction & Assumptions for Efficient Representation
NLU Introduction
NLU Introduction
2023
ARO Additional Knowledge
ARO Additional Knowledge
ARO Robot Controller
ARO Robot Controller
ARO Robot Dynamics
ARO Robot Dynamics
ARO Robot Motion Planning
ARO Robot Motion Planning
ARO Robot Kinematics
ARO Robot Kinematics
ARO Robot Geometry
ARO Robot Geometry
Coding Note
Coding Note
Checklist and Plan
Checklist and Plan
Paper Reading List
Paper Reading List
2022
SP Modules Review Contents (3)
SP Modules Review Contents (3)
SP Module 10 Connected Speech & HMM Training
SP Module 10 Connected Speech & HMM Training
SP Module 9 the Hidden Markov Model
SP Module 9 the Hidden Markov Model
SP Module 8 Feature Engineering
SP Module 8 Feature Engineering
MOB LEC12 Motion Planning
MOB LEC12 Motion Planning
SP Module 7 Pattern Matching
SP Module 7 Pattern Matching
SP Module 6 Prosody
SP Module 6 Prosody
SP Modules Review Contents (2)
SP Modules Review Contents (2)
MOB LEC11 Mapping and Occupancy Grid
MOB LEC11 Mapping and Occupancy Grid
MOB LEC10 LIDAR, Point Cloud and Iterative Closest Points
MOB LEC10 LIDAR, Point Cloud and Iterative Closest Points
MOB LEC9 Reference Frames and GPS
MOB LEC9 Reference Frames and GPS
SP Module 6 Speech Synthesis – Waveform Generation and Connected Speech
SP Module 6 Speech Synthesis – Waveform Generation and Connected Speech
SP Module 5 Speech Synthesis – Phonemes and the Front End
SP Module 5 Speech Synthesis – Phonemes and the Front End
MOB LEC8 Recursive and Kalman Filter
MOB LEC8 Recursive and Kalman Filter
MOB LEC7 Semantic Segmentation
MOB LEC7 Semantic Segmentation
SP Modules Review Contents
SP Modules Review Contents
SP Module 4 the Source-Filter Model
SP Module 4 the Source-Filter Model
PI Week6 the Human Element
PI Week6 the Human Element
PI Week5 Bias and Fairness
PI Week5 Bias and Fairness
PI Week4 Data Ownership
PI Week4 Data Ownership
PI Week3 Power
PI Week3 Power
PI Week2 Responsibility
PI Week2 Responsibility
MOB LEC6 Object Detection
MOB LEC6 Object Detection
MOB LEC5 Feed Forward Neural Network
MOB LEC5 Feed Forward Neural Network
MOB LEC4 Image Feature Matching
MOB LEC4 Image Feature Matching
MOB LEC3 Cameras and Images
MOB LEC3 Cameras and Images
SP Module 3 – Digital Speech Signals
SP Module 3 – Digital Speech Signals
SP Module 2 – Acoustics of Consonants and Vowels
SP Module 2 – Acoustics of Consonants and Vowels
SP Module 1 - Phonetics and Representations of Speech
SP Module 1 - Phonetics and Representations of Speech
SP Module 0 – Getting Started
SP Module 0 – Getting Started
MOB LEC2 Hardware and Software Architectures
MOB LEC2 Hardware and Software Architectures
MOB LEC1 Introduction
MOB LEC1 Introduction
2021
IADS 重点总结
IADS 重点总结
AIMA Practical Note 1 (Outdated)
AIMA Practical Note 1 (Outdated)
Software Engineering Terms Collection 3
Software Engineering Terms Collection 3
Week 5 Concepts and Categories
Week 5 Concepts and Categories
RA Lecture Note: Symbolic Planning Continuous
RA Lecture Note: Symbolic Planning Continuous
RA Lecture Note: Symbolic Planning 1
RA Lecture Note: Symbolic Planning 1
IADS Revision Note: Language Processing Basic
IADS Revision Note: Language Processing Basic
Week 4 Language Use in the Wild
Week 4 Language Use in the Wild
Lecture 9 World Learning
Lecture 9 World Learning
Lecture 9 World Learning
Lecture 9 World Learning
Professional Issues Note: Organisations
Professional Issues Note: Organisations
Software Engineering Terms Collection 2
Software Engineering Terms Collection 2
Software Engineering Terms Collection 2
Software Engineering Terms Collection 2
Software Engineering Terms Collection 1
Software Engineering Terms Collection 1
Software Engineering Terms Collection 1
Software Engineering Terms Collection 1
UoE UG2 Inf Course Research
UoE UG2 Inf Course Research
IADS Revision Note: Asymptotic Notations
IADS Revision Note: Asymptotic Notations
IADS Revision Note 1: Asymptotic Notations
IADS Revision Note 1: Asymptotic Notations
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