Publications [#338962] of Lawrence Carin

Papers Published

1. Krishnapuram, B; Williams, D; Xue, Y; Hartemink, A; Carin, L; Figueiredo, MAT, On semi-supervised classification, Advances in Neural Information Processing Systems (January, 2005), pp. 721-728, ISBN 9780262195348
   (last updated on 2024/12/31)

   Abstract:
   A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple views of a given sample (e.g., multiple sensors), thus implementing a Bayesian form of co-training. An EM algorithm for training the classifier automatically adjusts the tradeoff between the contributions of: (a) the labelled data; (b) the unlabelled data; and (c) the co-training information. Active label query selection is performed using a mutual information based criterion that explicitly uses the unlabelled data and the co-training information. Encouraging results are presented on public benchmarks and on measured data from single and multiple sensors.