They don't really scale to high dimensional spaces.

Images like these are very high dimensional statistics.

But in truly high dimensional space it has a very strong utility.

I create mathematical objects, symmetrical objects, using Galois' language, in very high dimensional spaces.

like a 4 dimensional or 5 dimensional figure.

One idea is that our three dimensional universe may be embedded in a high dimensional space, just as you can imagine on these sheets of paper.

That's usually a problem, because if you have a high dimensional space, you just can't apply it.

So now I'm going to show you a number of projects that we've built, from one dimensional, two dimensional, three dimensional and even four dimensional systems.

We have progressed from a zero dimensional point, to a one dimensional line segment, to a two dimensional triangle.

Sorting multi dimensional array

Insert 2 dimensional vector

Toward the Dimensional Gate.

Remember that now this state space is 3 dimensional, not 2 dimensional.

So you can basically program any three dimensional shape or one dimensional, two dimensional up into this chain completely passively.

However, I printed out a 2 dimensional table, not a 3 dimensional table.

create scientific 2 dimensional graphs

It's a 3 dimensional state.

It's all very one dimensional.

Here's a 2 dimensional space.

High, High!

So next, we will talk about two dimensional and three dimensional shapes of ellipticals.

ShinHwa High! ShinHwa High! ShinHwa High!

So, it works really well for low dimensional problems like 3 dimensional robot localization problems.

A two dimensional vector is needed

This is a 47 dimensional vector.

So it becomes slightly three dimensional.

It's truly a three dimensional space.

This is a three dimensional machine.

Often they are 3 dimensional vectors.

We take this curved 12 dimensional space, and transform it into a flat, four dimensional space.

Finally, I copy the 3 dimensional symbol for my policy straight into the 2 dimensional array.

And that's why my training examples are now N dimensional rather N plus one dimensional vectors.

Obviously this is a 1 dimensional example and not 2 dimensional as the picture suggests over here.

We have a 3 dimensional state space.

It's a thin film, two dimensional existence.

So this is my three dimensional plane.

Freeflying is more the three dimensional skydiving.

You might think paper is two dimensional.

I'm high. I'm fucking high. I must be high.

High gear, gentlemen, high gear.

High

High

high

High

High