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Smart Harbor [DEMO #7]

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back to our total cost API Xinjiang you have to do with you so that that you because you're using the fact that a little more we use the people like people In another to reduce the on
axis relative to our economy tried to the fact that you know the numbers behavior of English French so there were a couple of things
we tried to do what I want to see if she because of another course of course we have rejected we also
want to see that the speed of the because of the research of that and also
manually it's going to any out this should be for example like the farm or any of the structure of the object in the density of water and also of course this that
it's so a couple of use cases we were thinking of was our views and you're at the end of short years at how hand yet dynamos show you read of what we did here and on and on and on and this is the change that we did some stuff that we try to go beyond that point here and try to see the and feeds on life that included and see if we can get a results so it only had a couple of the use of course we make use so
long so we have to use them for all the data that we've collected following days of the week so basically amount of data In the learning of the model we have all
the ships the millions of men and the women unintelligible on this and then we can look on each of these ships the and different models to predict it the you and and there we want to be like the rest of the countries in the world today is the we think the but you can see that there's a lot more things there did you just add the next year Special report that included in the cost of that was it you can see that sum of the parts of the groups like the president of the and in the sociology of the along with what you want how it's pretty remark that restraint based model all base move around the 3 thousand records in a records I think of this ship correctly they are and what you see here is that we use it as a starting point and then
the green line indicates that see the road before so we use the training data more moral times and then you see some anomalies that most traffic which is usually the integration of new exceeds the scene for recognizes as diagram they were actually wanted the the United States that track to took opposed to just leave a little trail behind all of this appears In the last few years have direction by a lot of that going with that in the future and how we use the result of this work and would have taken out there what what you think is happening coming from the area of is time the was of with and I think that you know you have to be interpreted with gets so I think most of you the words of the nuclear so we tried with some different thing to do is you don't have to go back to what you see here like this you will be a lot of new important as it with noise almost all the traffic because we also use this data to train and almost all of the contract so that we can with your you can think of the and use the likelihood of that are not so that takes care of the they would be nice to have is actually the knowledge that we have that what we really not only in the single source out of the classes of the 1989 stand alone we will use the the title of the book so have to follow the rules of the game and integrated that we want to wanted to show them this is the and that's what we see and we had dies and is the variance of cats the time to of the here is to create a new and interesting to see that that was kind of a other half standard lines and you know that was going to get from some time and that it was actually that begin the sort of threats is not correct but you can also be used for also so long as you have seen in the fact that you don't want to believe what you want what it the level of the with that you you would see straight the it follows the lines and the cortisol lower-rated forget using playing with all of this well so what should the middle man so it
should be made to the middle between the 2 ends of the projection it is that there 1st that all held off on and and we we can say it's the with the basic and this is the connection as well as well but this is just 1 of the things I want you know if you will of the history 1st and then the whole of the thing you always know that is almost as good as points and millions of various positions so that every element figured you of all at same time as the as the aspects of design of the annotation of RDF in some on the speed of the the modes of the things we would have to give the policies and you can use that exactly so in the and if they are obligated to give their position to the system of government the only the other 1 we inequality right there in the morning on immediate withdrawal of love the theory on the and we try to use that we will use this as well because we know that some of you need to try and it's important the amount of data you know the the the the the the right of the of the of the of of the and
Total <Mathematik>
Demo <Programm>
Explosion <Stochastik>
Kartesische Koordinaten
Objekt <Kategorie>
Weg <Topologie>
Dichte <Physik>
Gewichtete Summe
Klasse <Mathematik>
Demoszene <Programmierung>
Weg <Topologie>
Metropolitan area network
Wort <Informatik>
Computerunterstützte Übersetzung
Einfach zusammenhängender Raum
Rechter Winkel
Projektive Ebene
Physikalisches System
Element <Mathematik>
Physikalische Theorie


Formale Metadaten

Titel Smart Harbor [DEMO #7]
Serientitel 2014 Fall NuPIC Hackathon
Anzahl der Teile 19
Autor Ducro, Daniel
Wietses, Egbert
Lizenz CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/18083
Herausgeber Numenta Platform for Intelligent Computing (NuPIC)
Erscheinungsjahr 2014
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract Tracking geolocations of cargo ships in the port of Rotterdam.

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