Hochschulschrift
Labeling Spatial Trajectories in Road Network using Probabilistic Graphical Models
- Weitere Titel
-
Labeling Räumlicher Trajektorien in Straßennetzen mit Probabilistisch Graphischen Modellen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2016
- Klassifikation
-
Geografie, Reisen
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2016
- Urheber
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20160607-1280997-1-6
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Yang, Jian
- Meng, Liqiu
- Sester, Monika
- Universitätsbibliothek der TU München
Entstanden
- 2016
Ähnliche Objekte (12)
Advances in probabilistic graphical models
Probabilistic Graphical Models in RapidMiner
Rich probabilistic models for semantic labeling
Probabilistic graphical models for medical image segmentation
Multi-Target Tracking with Probabilistic Graphical Models
Hierarchical probabilistic graphical models for image recognition
Learning Probabilistic Graphical Models for Image Segmentation
Probabilistic Graphical Models for Medical Image Segmentation
Learning probabilistic graphical models for image segmentation
Multi-target tracking with probabilistic graphical models
Real Time Probabilistic Models for Robot Trajectories
Data Mining Though Higher Order Probabilistic Graphical Models
Advances in probabilistic graphical models
Probabilistic Graphical Models in RapidMiner
Rich probabilistic models for semantic labeling
Probabilistic graphical models for medical image segmentation
Multi-Target Tracking with Probabilistic Graphical Models
Hierarchical probabilistic graphical models for image recognition
Learning Probabilistic Graphical Models for Image Segmentation
Probabilistic Graphical Models for Medical Image Segmentation
Learning probabilistic graphical models for image segmentation
Multi-target tracking with probabilistic graphical models
Real Time Probabilistic Models for Robot Trajectories
Data Mining Though Higher Order Probabilistic Graphical Models
Advances in probabilistic graphical models
Probabilistic Graphical Models in RapidMiner
Rich probabilistic models for semantic labeling
Probabilistic graphical models for medical image segmentation
Multi-Target Tracking with Probabilistic Graphical Models
Hierarchical probabilistic graphical models for image recognition
Learning Probabilistic Graphical Models for Image Segmentation
Probabilistic Graphical Models for Medical Image Segmentation
Learning probabilistic graphical models for image segmentation
Multi-target tracking with probabilistic graphical models
Real Time Probabilistic Models for Robot Trajectories