Swarup Medasani

According to our database, Swarup Medasani authored at least 21 papers between 1997 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Self-Driving Cars.

Mike Daily, Swarup Medasani, Reinhold Behringer, Mohan M. Trivedi

Computer, 2017

2011

Strip Histogram Grid for efficient LIDAR segmentation from urban environments.

Thommen Korah, Swarup Medasani, Yuri Owechko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multi-object detection and behavior recognition from motion 3D data.

Kyungnam Kim, Michael Cao, Shankar Rao, Jiejun Xu, Swarup Medasani, Yuri Owechko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Active safety and collision alerts using Contextual Visual Dataspace.

Kyungnam Kim, Yuri Owechko, Swarup Medasani

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

2005

Cognitive swarms for rapid detection of objects and associations in visual imagery.

Yuri Owechko, Swarup Medasani

Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Modeling of pedestrian motion for recognition.

Payam Saisan, Swarup Medasani, Narayan Srinivasa, Yuri Owechko

Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

Multi-View Classifier Swarms for Pedestrian Detection and Tracking.

Payam Saisan, Swarup Medasani, Yuri Owechko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

A Swarm-Based Volition/Attention Framework for Object Recognition.

Yuri Owechko, Swarup Medasani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004

Content-Based Image Retrieval Based on a Fuzzy Approach.

Raghu Krishnapuram, Swarup Medasani, Sung-Hwan Jung, YoungSik Choi, Rajesh Balasubramaniam

IEEE Trans. Knowl. Data Eng., 2004

Active learning system for object fingerprinting.

Swarup Medasani, Narayan Srinivasa, Yuri Owechko

Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

Active fuzzy clustering for collaborative filtering.

Narayan Srinivasa, Swarup Medasani

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Classifier Swarms for Human Detection in Infrared Imagery.

Yuri Owechko, Swarup Medasani, Narayan Srinivasa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003

Fuzzy edge-symmetry features for improved intruder detection.

Narayan Srinivasa, Swarup Medasani, Yuri Owechko, Deepak Khosla

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2001

Graph matching by relaxation of fuzzy assignments.

Swarup Medasani, Raghu Krishnapuram, YoungSik Choi

IEEE Trans. Fuzzy Syst., 2001

Categorization of Image Databases for Efficient Retrieval Using Robust Mixture Decomposition.

Swarup Medasani, Raghu Krishnapuram

Comput. Vis. Image Underst., 2001

An On-line Method for Self Organized Learningn and Extraction of Fuzzy From High Dimensional Data.

Swarup Medasani, Narayan Srinivasa, Yuri Owechko

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

1999

Are fuzzy definitions of basic attributes of image objects really useful?

Swarup Medasani, Raghu Krishnapuram, James M. Keller

IEEE Trans. Syst. Man Cybern. Part A, 1999

A comparison of Gaussian and Pearson mixture modeling for pattern recognition and computer vision applications.

Swarup Medasani, Raghu Krishnapuram

Pattern Recognit. Lett., 1999

A Fuzzy Approach to Content-Based Image Retrieval.

Swarup Medasani, Raghu Krishnapuram

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

1998

An overview of membership function generation techniques for pattern recognition.

Swarup Medasani, Jaeseok Kim, Raghu Krishnapuram

Int. J. Approx. Reason., 1998

1997

Determination of the number of components in Gaussian mixtures using agglomerative clustering.

Swarup Medasani, Raghu Krishnapuram

Proceedings of International Conference on Neural Networks (ICNN'97), 1997