10 citations · 18 across the 4 of their papers we have counts for
4 papers
Outlier Elimination for Robust Ellipse and Ellipsoid Fitting
Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni +1
In this paper, an outlier elimination algorithm for ellipse/ellipsoid fitting is proposed. This two-stage algorithm employs a proximity-based outlier detection algorithm (using the…
Collaborative Training in Sensor Networks: A graphical model approach
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
Graphical models have been widely applied in solving distributed inference problems in sensor networks. In this paper, the problem of coordinating a network of sensors to train a u…
Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
This paper introduces a modeling framework for distributed regression with agents/experts observing attribute-distributed data (heterogeneous data). Under this model, a new algorit…
Dimensionally Distributed Learning: Models and Algorithm
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
This paper introduces a framework for regression with dimensionally distributed data with a fusion center. A cooperative learning algorithm, the iterative conditional expectation a…