Properties (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
person
|
| gptkbp:affiliation |
gptkb:Johns_Hopkins_University
|
| gptkbp:awards |
gptkb:NSF_CAREER_Award
Best Paper Award at CVPR |
| gptkbp:collaborations |
gptkb:Yair_Weiss
gptkb:J._Andrew_Bagnell gptkb:David_W._Jacobs gptkb:R._Manmatha |
| gptkbp:contribution |
visual recognition
motion segmentation subspace methods |
| gptkbp:education |
Ph.D._in_Electrical_and_Computer_Engineering
|
| gptkbp:field |
robotics
signal processing applied mathematics |
| https://www.w3.org/2000/01/rdf-schema#label |
René Vidal
|
| gptkbp:knownFor |
machine learning
computer vision |
| gptkbp:patentDescription |
Geometric Methods for the Analysis of Nonlinear Dynamical Systems
|
| gptkbp:project |
gptkb:Pattern_Recognition_Systems
Image Processing Techniques Data Analysis Techniques Statistical Learning Theory Computational Geometry High-Dimensional Data Analysis Learning from Demonstration Sensor Fusion Techniques Machine Perception 3D Reconstruction Techniques Real-Time Motion Tracking Robust Learning Methods Robustness in Learning Algorithms Statistical Shape Analysis Visual Servoing Techniques Artificial_Intelligence_Applications Machine_Learning_Algorithms Human-Robot_Interaction Data_Mining_Techniques Machine_Learning_for_Robotics Nonlinear_Control_Systems Deep_Learning_Methods Computer_Vision_Applications Adaptive_Learning_Systems Visual_Recognition_Systems Autonomous_Robotics Data-Driven_Control_Methods Dynamic_Systems_Analysis Geometric_Data_Analysis Neural_Networks_in_Vision |
| gptkbp:publications |
gptkb:Multiple_View_Geometry_in_Computer_Vision
Geometric and Statistical Approaches to Data Analysis Robust Subspace Learning |
| gptkbp:researchInterest |
dynamical systems
data-driven methods geometry in data analysis |
| gptkbp:studentSupportServices |
gptkb:S._Shankar_Sastry
|