Difference between revisions of "Object Recognition with Deep Boltzmann Machines"
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| − | + | This project aims to exploit the ability of Deep Belief Network (DBN) to classify (and generate) multiclass objects. Initially, they will be used to classify road signs with the purpose help the navigation of an hypotetical autonomous car. Since the initial results on the classification tasks of road signs using DBN are very good, we are pretty confident about the quality of the project.{{Project | title=DBN | short_descr= DBN for classification tasks | coordinator=MatteoMatteucci | tutor=MatteoMatteucci;FrancescoVisin | students=CarloDEramo | resarea=Robotics | restopic=Machine Learning | start=2014/03/1 | level=Ms | status=Active}} | |
Revision as of 23:40, 27 February 2014
This project aims to exploit the ability of Deep Belief Network (DBN) to classify (and generate) multiclass objects. Initially, they will be used to classify road signs with the purpose help the navigation of an hypotetical autonomous car. Since the initial results on the classification tasks of road signs using DBN are very good, we are pretty confident about the quality of the project.
DBN
| |
| Short Description: | DBN for classification tasks |
| Coordinator: | MatteoMatteucci (matteo.matteucci@polimi.it) |
| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it), FrancescoVisin (visin@elet.polimi.it) |
| Collaborator: | |
| Students: | CarloDEramo (carlo.deramo@polimi.it) |
| Research Area: | Robotics |
| Research Topic: | Machine Learning |
| Start: | 2014/03/1 |
| Status: | Active |
| Level: | Ms |
