Abstract: Systems, methods and products for quantitative translation of design requirements into a machine learning framework for training a classification model. A plurality of auxiliary tasks associated with a plurality of auxiliary task models are specified. The plurality of auxiliary task models are concurrently trained on the auxiliary tasks to generate one or more latent features learned by the plurality of auxiliary task models. The one or more latent features may be transferred from the plurality of auxiliary task models to augment a latent feature space of a target task for the classification model. Contribution levels of the transferred one or more latent features are adjusted based on design requirements for the target task for the classification model. First and second contribution levels are specified for respective first and second sets of auxiliary task latent features being quantified and enforced.

Abstract: A system and methods of capturing rapid changes in complex systems by examining the interaction of the various components within the system. A multivariate signal is decomposed into a dictionary of elements and a corresponding sparse mixing matrix Each dictionary element may provide a rank-1 estimation of a disjoint partition of time points of the signal that may permit estimation of the covariance of each partition using an outer-product of the corresponding dictionary element.

Abstract: The invention is directed to a system and methods of capturing rapid changes in complex systems by examining the interaction of the various components within the system. This may be accomplished by decomposing a multivariate signal into a dictionary of elements and a corresponding sparse mixing matrix. Each dictionary element may provide a rank-1 estimation of a disjoint partition of time points of the signal that may permit estimation of the covariance of each partition using an outer-product of the corresponding dictionary element.

Abstract: Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.

Abstract: Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.

Abstract: Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.

Abstract: Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.