Abstract: In one embodiment, a method for generating an ensemble classifier may include transforming multidimensional training data into a plurality of response planes. Each of the response planes includes a set of confidence scores. The response planes are transformed into a plurality of binary response planes. Each of the binary response planes include a set of binary scores corresponding to one of the confidence scores. Combinations of the binary response planes are transformed into sets of diversity metrics according to a diversity measure. A metric is selected from the sets of diversity metrics. A predicted performance of a child combination of the recognition algorithms corresponding to the combinations is generated. The predicted performance is based at least in part upon the metrics. Parent recognition algorithms are selected from the recognition algorithms based at least in part upon the predicted performance. The ensemble classifier is generated and includes the parent recognition algorithms.

Abstract: In one embodiment, a method for generating an ensemble classifier may include transforming multidimensional training data into a plurality of response planes. Each of the response planes includes a set of confidence scores. The response planes are transformed into a plurality of binary response planes. Each of the binary response planes include a set of binary scores corresponding to one of the confidence scores. Combinations of the binary response planes are transformed into sets of diversity metrics according to a diversity measure. A metric is selected from the sets of diversity metrics. A predicted performance of a child combination of the recognition algorithms corresponding to the combinations is generated. The predicted performance is based at least in part upon the metrics. Parent recognition algorithms are selected from the recognition algorithms based at least in part upon the predicted performance. The ensemble classifier is generated and includes the parent recognition algorithms.

Abstract: A dental radiographic absorptiometric device and method is provided that quantitatively measures the amount of bone of a patient in any dentist's office. Absorptiometric information simultaneously obtained from the mandible and calibration devices are used to screen patients for osteoporosis.

Abstract: A method for verifying the authenticity of a secure document, the method includes the steps of encoding the secure document with one or more of steganographically encoded people identification, equipment identification, material identification or secure-document, production geographical location all associated with production of the secure document and all of which are not generally known to the public for forming metadata; scanning a secure document for obtaining the metadata: verifying the metadata with a database; and accepting identification by correctly matching one or more of the provided metadata.