Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A rank-based score normalization framework that partitions matching scores into subsets and normalize each subset independently. Methods include implementing two versions of the framework: (i) using gallery-based information (i.e., gallery versus galleryscores), and (ii) updating available information in an online fashion. The methods improve the detection and identification rate from 20:90% up to 35:77% for Z-score and from 25:47% up to 30:29% for W-score.

Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.

Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.

Abstract: A novel method and system for 3d-aided-2D face recognition under large pose and illumination variations is disclosed. The method and system includes enrolling a face of a subject into a gallery database using raw 3D data. The method also includes verifying and/or identifying a target face form data produced by a 2D imagining or scanning device. A statistically derived annotated face model is fitted using a subdivision-based deformable model framework to the raw 3D data. The annotated face model is capable of being smoothly deformed into any face so it acts as a universal facial template. During authentication or identification, only a single 2D image is required. The subject specific fitted annotated face model from the gallery is used to lift a texture of a face from a 2D probe image, and a bidirectional relighting algorithm is employed to change the illumination of the gallery texture to match that of the probe.

Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.

Abstract: A non-separable multiresolution structure based on frames by radial scaling functions is disclosed, which are minimally supported in the frequency. Resulting frame multiwavelets are also disclosed which can be isotropic. The construction can be carried out in any number of dimensions and for a variety of dilation matrices.

Abstract: A novel method and system for 3d-aided-2D face recognition under large pose and illumination variations is disclosed. The method and system includes enrolling a face of a subject into a gallery database using raw 3D data. The method also includes verifying and/or identifying a target face form data produced by a 2D imagining or scanning device. A statistically derived annotated face model is fitted using a subdivision-based deformable model framework to the raw 3D data. The annotated face model is capable of being smoothly deformed into any face so it acts as a universal facial template. During authentication or identification, only a single 2D image is required. The subject specific fitted annotated face model from the gallery is used to lift a texture of a face from a 2D probe image, and a bidirectional relighting algorithm is employed to change the illumination of the gallery texture to match that of the probe.

Abstract: A method for identifying an individual includes the steps of collecting data from an individual's face using visible and infrared cameras, processing the acquired data, fitting a geometric model template of the face to the data according to a mathematical method, processing the fitted model to extract relevant first metadata, storing the first metadata in a machine readable format, and comparing second metadata to the first metadata, to determine their degree of similarity in order to identify the individual.

Abstract: A method for detection, localization, and quantification anatomical, morphological or structural features of site sites by analyzing data acquired before injection of a contrast agent and after injection the contrast agent. New catheters for use with the method is also disclosed.

Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set is described where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.

Abstract: A method for identifying an individual includes the steps of collecting data from an individual's face using visible and infrared cameras, processing the acquired data, fitting a geometric model template of the face to the data according to a mathematical method, processing the fitted model to extract relevant first metadata, storing the first metadata in a machine readable format, and comparing second metadata to the first metadata, to determine their degree of similarity in order to identify the individual.

Abstract: A non-separable multiresolution structure based on frames by radial scaling functions is disclosed, which are minimally supported in the frequency. Resulting frame multiwavelets are also disclosed which can be isotropic. The construction can be carried out in any number of dimensions and for a variety of dilation matrices.