The papers presented are concerned with the application of statistical methods to tasks in map-making and pattern recognition in machine learning.
Computer Vision
Autonomous geometric precision error estimation in low-level computer vision tasks (with Howard Schultz), International Conference on Machine Learning 2008 (2008)
Errors in map-making tasks using computer vision are sparse. We demonstrate this by considering the...
Autonomous estimates of horizontal decorrelation lengths for digital elevation models (with Howard Schultz), Computer Science Department Technical Report TR-08-02 (2008)
The precision errors in a collection of digital elevation models (DEMs) can be estimated in...
Improving Autonomous Estimates of DEM Uncertainties by Exploiting Computer Matching Asymmetries (with Brian Pinette, Andrey Ostapchenko, and Howard Schultz), Proceedings of the 8th Conference on Optical 3-D Measurement Techniques (2007)
We consider the problem of estimating the vertical uncertainty in Digital Elevation Models when results...
Latent Dirichlet Allocation Models
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email (with Andrew McCallum and Xuerui Wang), Journal of Artificial Intelligence Research (2007)
Previous work in social network analysis (SNA) has modeled the existence of links from one...
Group Discovery with Multiple-Choice Exams and Consumer Surveys: The Group-Question-Answer Model (with Ian Beatty and William Gerace), Computer Science Department Technical Report (2007)
Multiple choice questions (MCQs) are a common data gathering tool. We extend the Latent Dirichlet...
Machine Learning
Autonomous geometric precision error estimation in low-level computer vision tasks (with Howard Schultz), International Conference on Machine Learning 2008 (2008)
Errors in map-making tasks using computer vision are sparse. We demonstrate this by considering the...
Autonomous estimates of horizontal decorrelation lengths for digital elevation models (with Howard Schultz), Computer Science Department Technical Report TR-08-02 (2008)
The precision errors in a collection of digital elevation models (DEMs) can be estimated in...
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email (with Andrew McCallum and Xuerui Wang), Journal of Artificial Intelligence Research (2007)
Previous work in social network analysis (SNA) has modeled the existence of links from one...
Group Discovery with Multiple-Choice Exams and Consumer Surveys: The Group-Question-Answer Model (with Ian Beatty and William Gerace), Computer Science Department Technical Report (2007)
Multiple choice questions (MCQs) are a common data gathering tool. We extend the Latent Dirichlet...
Improving Autonomous Estimates of DEM Uncertainties by Exploiting Computer Matching Asymmetries (with Brian Pinette, Andrey Ostapchenko, and Howard Schultz), Proceedings of the 8th Conference on Optical 3-D Measurement Techniques (2007)
We consider the problem of estimating the vertical uncertainty in Digital Elevation Models when results...
Photogrammetry
Autonomous geometric precision error estimation in low-level computer vision tasks (with Howard Schultz), International Conference on Machine Learning 2008 (2008)
Errors in map-making tasks using computer vision are sparse. We demonstrate this by considering the...
Autonomous estimates of horizontal decorrelation lengths for digital elevation models (with Howard Schultz), Computer Science Department Technical Report TR-08-02 (2008)
The precision errors in a collection of digital elevation models (DEMs) can be estimated in...
Improving Autonomous Estimates of DEM Uncertainties by Exploiting Computer Matching Asymmetries (with Brian Pinette, Andrey Ostapchenko, and Howard Schultz), Proceedings of the 8th Conference on Optical 3-D Measurement Techniques (2007)
We consider the problem of estimating the vertical uncertainty in Digital Elevation Models when results...