Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Object-oriented software for quadratic programming
ACM Transactions on Mathematical Software (TOMS)
Spin Images and Neural Networks for Efficient Content-Based Retrieval in 3D Object Databases
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
A New Paradigm for Recognizing 3-D Object Shapes from Range Data
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning associative Markov networks
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Learning structured prediction models: a large margin approach
Learning structured prediction models: a large margin approach
Multi-scale features for approximate alignment of point-based surfaces
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Relational object maps for mobile robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Parts-based 3D object classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Unsupervised learning of 3D object models from partial views
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Robust on-line model-based object detection from range images
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Fast geometric point labeling using conditional random fields
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Cautious Collective Classification
The Journal of Machine Learning Research
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
International Journal of Robotics Research
Indoor scene classification using combined 3D and gist features
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Transductive segmentation of textured meshes
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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In this paper, we present an algorithm to identify different types of objects from 2D and 3D laser range data. Our method is a combination of an instance-based feature extraction similar to the Nearest-Neighbor classifier (NN) and a collective classification method that utilizes associative Markov networks (AMNs). Compared to previous approaches, we transform the feature vectors so that they are better separable by linear hyperplanes, which are learned by the AMN classifier. We present results of extensive experiments in which we evaluate the performance of our algorithm on several recorded indoor scenes and compare it to the standard AMN approach as well as the NN classifier. The classification rate obtained with our algorithm substantially exceeds those of the AMN and the NN.