CV Lecture 4 Image segmentation The process of segmenting an image into parts or fragments and assigning a label to each of those Three are the basic types of image segmentation I...

Why and How do we characterise an image The holy grail of computer vision is to develop algorithms that extract sufficient information from an image This would let us transmit an image betwee...

作业回顾 Sum reduction benchmark (Exercise 1) SIMD: 4 plateaus scalar: 3 plateaus Performance peak Variability This is due to CPU Boosting. Question SIMD code does not achieve theoretical ...

Part 1: Basics of multivariate analysis First: What is learning? Learning means finding probability distributions to model data $Y$. 概率分布对数据建模 We will see many examples of ...

Monday week 6 ADVANCED STATISTICS AND MACHINE LEARNING FOUNDATIONS Introduction What is the goal? Make rational inferences and decisions from data. Inference about unknown quantity $U$ giv...

Exercise 2 Memory bandwidth in the memory hierarchy The goal of this exercise is to determine the memory bandwidth as a function of the amount of data we are moving on the Hamilton cores. As don...

Excercise 1 PreviousLecture 1 Notes NextFirst_draft_of_a_report_on_the_EDVAC.pdf Benchmarking with likwid-bench We’re going to look at the throughput of a very simple piece of code float reduc...

Lecture 2 Colour and Colour Images A colour image has three components: red, green and blue The components are usually called channels Electromagnetic radiation All electromagnetic radiat...

paolo 4 weeks 5个话题 ML Introduction What is CV enable machines to see Seeing implies more than taking a photograph or a video clip of the external world Light passes through the ...

1 piece of coursework covering both components due in term 3. Performance Modelling, Vectorisation Overview Fundamental question I would like this code to run faster: how do I know what to do? ...