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The authors are grateful to Judy Zeh for helpful discussions and to the Associate Editor and two anonymous referees for useful comments that have substantially improved the article. Abstract We consider adaptive importance sampling techniques which use kernel density estimates at each iteration as importance sampling functions. These can provide more nearly(More)
Inexpensive “point-and-shoot” camera technology has combined with social network technology to give the general population a motivation to use face recognition technology. Users expect a lot; they want to snap pictures, shoot videos, upload, and have their friends, family and acquaintances more-or-less automatically recognized. Despite the(More)
— The Good, the Bad, & the Ugly Face Challenge Problem was created to encourage the development of algorithms that are robust to recognition across changes that occur in still frontal faces. The Good, the Bad, & the Ugly consists of three partitions. The Good partition contains pairs of images that are considered easy to recognize. On the Good partition,(More)
We consider the problem of inference about a quantity of interest given diierent sources of information linked by a deterministic population dynamics model. Our approach consists of translating all the available information into a joint pre-model distribution on all the model inputs and outputs, and then restricting this to the sub-manifold deened by the(More)
The diierence between the dynamics of a population model in an Aboriginal Whaling Management Procedure (AWMP) and the dynamics of either the true stock or the common control program for testing AWMPs is a form of model misspeciication. The potential estimation bias introduced by this misspeciication provides the opportunity to empirically improve(More)
Recognition difficulty is statistically linked to 11 subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an interpersonal image difference classifier, and an elastic bunch graph matching algorithm. The covariates assess race, gender, age, glasses use, facial hair, bangs, mouth state,(More)
This paper summarizes conclusions and new ideas for the Aboriginal Whaling Management Procedure (AWMP) development process, including suggestions for wider-scope tuning and eventual optimization of AWMPs, and a critical look at the choice of type 2 Initial Exploration Trials (IETs) and performance evaluation statistics developed by the Scientiic Committee(More)
ABstRACt. Bowhead whales (Balaena mysticetus) in the Bering, Chukchi, and Beaufort seas experienced a severe reduction as a result of commercial whaling in the 19th century. since the cessation of commercial whaling, the population has recovered to a size that is approaching pre-whaling estimates. inupiat and yupik communities in northern and western Alaska(More)
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognition rates are statistically distinguishable subject to changes in test imagery. Nearest Neighbor clas-sifiers using principal component and linear discriminant subspaces are(More)