But in the correspondence step instead of making a hard correspondence we make a soft correspondence.

I have some correspondence to deal with.

In K means the correspondence is hard.

We will now talk about correspondence in stereo.

That's called the correspondence problem.

This segment is my explanation of correspondence in stereo vision.

There's something called a correspondence problem.

It is just that this correspondence over here is much stronger than the correspondence over here.

And this has to do with the soft versus hard nature of the correspondence.

I'm really glad to say recently, we've been in correspondence with Ryan that this story had a happy ending.

We have carried on a correspondence for years.

Which means there is not a 0, 1 correspondence.

She, it turns out, has a non accredited correspondence course Ph.D. from somewhere in America.

She'll be seeing to your correspondence while Miss Cobb's away.

This pair of lovers were carrying on an ardent correspondence.

I saw a correspondence between riding the subway and reading.

I'd like to talk a little bit more about correspondence.

He's been talking to somebody. You'll have copies of the correspondence.

Notice how the different occlusion costs give different results for the correspondence program in this dynamic programming question.

But otherwise, you can think of those two terms as being synonyms, because they're in a one to one correspondence.

You might remember our dynamic programming approach for resolving correspondence along an entire scan line.

We do this by establishing correspondence, which means we take measurements a time step earlier and measurements a time step later, see which has the most likely correspondence between these two measurements and then see if there's a motion vector in between.

They are somewhat similar, and they're not without problems, but both are being used to estimate correspondence.

I'd like to say a few words on the issue of correspondence, often also called data association.

I satisfied my hunger for parental advice from this book by a family of writers and musicians. Correspondence in the Family of Fou Lei

In fact, it emitted a striped pattern, shown over here on this frog, and by adding texture to the scene, you can making correspondence easier.

Given now we have a correspondence between the data points and cluster centers, find the optimal cluster center that corresponds to the points associated with the cluster center.

And so this shows it's not 99 percent, but it's roughly 90 percent correspondence at a reasonable cutoff, so everything in the cloud is roughly correlated.

Additionally, Vitruvius recognized that arm span and height have a nearly perfect correspondence in the human body, thus placing the body perfectly inside a square as well.

And then when we see a new example of text that we haven't seen before, we can just look up what we've seen in the past for that correspondence.

In with it!

And when we do that by examining many, many millions of words of text in the 2 languages and making the correspondence, and then we can put that all together.

Their place in public is in the porticos with gardens, with sculpture, and with pathways for walking in.

So we see that the correspondence doesn't have to be 100 to tell us that there is still a good chance of a correlation.

In general with subtraction,

Join in with me

Get in with me.

Hang in with Forensics.

In here, with me.

And if you want to read the full correspondence and the excuses and the explanations given by the drug company, you can see that written up in this week's edition of PLOS Medicine.

In with you, quick, boys, in! said

Ray, I'm not in love with Evangeline I am in love with Tiana.

There ended up being kind of a nice correspondence between several different kinds of graphs, several different kinds of recurrence relations, and several different growth rates.

In the adjustment step or the maximization step the cluster centers are being optimized just like before but now the correspondence is a soft variable and they correspond to all data points in different strengths not just the nearest ones.

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