Abstract: A method for inferring, without supervision, information about a data set and/or recognizers that are operated thereon. The recognizers are modules that are capable of analyzing, interpreting and labeling raw data of the data set with a label, which is a cognitive or substance-based identifier of the data, for instance, identifying peaks, troughs, patterns and trends of particular significance. The method infers the information about the data set and/or the recognizers based on the observable outputs of each recognizer and a mathematical means of reconciling the agreement/disagreement of the outputs. The method operates without need for knowledge of the correct label to be applied to the data set by each of the recognizers, such as a test set or prior knowledge of the accuracy of the recognizer.

Abstract: A method for inferring, without supervision, information about a data set and/or recognizers that are operated thereon. The recognizers are modules that are capable of analyzing, interpreting and labeling raw data of the data set with a label, which is a cognitive or substance-based identifier of the data, for instance, identifying peaks, troughs, patterns and trends of particular significance. The method infers the information about the data set and/or the recognizers based on the observable outputs of each recognizer and a mathematical means of reconciling the agreement/disagreement of the outputs. The method operates without need for knowledge of the correct label to be applied to the data set by each of the recognizers, such as a test set or prior knowledge of the accuracy of the recognizer.

Abstract: An underwater imaging system includes an underwater imaging polarimeter that captures images of the water surface. The captured images are indicative of the captured light, and are equivalent to four-component Stokes vector S=(I,Q,U,V) data. Advantageously, the passive imaging technique of the present invention utilizes polarmetric data. In contrast, conventional optical remote sensing techniques rely on light amplitude and frequency to carry information about the scattering surface. The imaging technique of the present invention exploits these properties, as well as the polarization properties of light to sense information about the scattering media. The two-dimensional slope field of surface wave can be recovered from a distance without interfering with the fluid dynamics of the air or water. By employing the physics of light scattering by a specular surface, the geometry of the surface can be found by measuring the polarimetric properties of the reflected and/or refracted light.

Abstract: An underwater imaging system includes an underwater imaging polarimeter that captures images of the water surface. The captured images are indicative of the captured light, and are equivalent to four-component Stokes vector S=(I,Q,U,V) data. Advantageously, the passive imaging technique of the present invention utilizes polarmetric data. In contrast, conventional optical remote sensing techniques rely on light amplitude and frequency to carry information about the scattering surface. The imaging technique of the present invention exploits these properties, as well as the polarization properties of light to sense information about the scattering media. The two-dimensional slope field of surface wave can be recovered from a distance without interfering with the fluid dynamics of the air or water. By employing the physics of light scattering by a specular surface, the geometry of the surface can be found by measuring the polarimetric properties of the reflected and/or refracted light.

Abstract: A speech sample is evaluated using a computer. Training data that include samples of speech are received and stored along with identification of speech elements to which portions of the training data are related. A speech sample is received and speech recognition is performed on the speech sample to produce recognition results. Finally, the recognition results are evaluated in view of the training data and the identification of the speech elements to which the portions of the training data are related. The technique may be used to perform tasks such as speech recognition, speaker identification, and language identification.