We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K...
Abstract. In this paper, we have proposed a prototype biometrics authentication system based upon fingerprint recognition. The major functional blocks of the proposed authenticati...
Wei Xiang, Bhavin Desai, Paul Wen, Yafeng Wang, Ti...
The design of fiducials for precise image registration is of major practical importance in computer vision, especially in automatic inspection applications. We analyze the subpix...
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
This paper describes TextTiling,an algorithmfor partitioning expository texts into coherent multi-paragraph discourse units which re ect the subtopic structure of the texts. The a...