Abstract: Disclosed techniques relate to identifying subjects in digital images. In various embodiments, digital image(s) that depict a subject in an area may be acquired. Portion(s) of the digital image(s) that depict a face of the subject may be detected as detected face image(s). Features of each of the detected face image(s) may be compared with features of each of a set of subject reference templates associated with a given subject in a subject reference database. Based on the comparing, a subject reference template may be selected from the set of subject reference templates associated with the given subject. Similarity measure(s) may then be determined between a given detected face image of the detected face image(s) and the selected subject reference template. An identity of the subject may be determined based on the similarity measure(s).

Abstract: Disclosed techniques relate to identifying subjects in digital images. In various embodiments, digital image(s) that depict a subject in an area may be acquired. Portion(s) of the digital image(s) that depict a face of the subject may be detected as detected face image(s). Features of each of the detected face image(s) may be compared with features of each of a set of subject reference templates associated with a given subject in a subject reference database. Based on the comparing, a subject reference template may be selected from the set of subject reference templates associated with the given subject. Similarity measure(s) may then be determined between a given detected face image of the detected face image(s) and the selected subject reference template. An identity of the subject may be determined based on the similarity measure(s).

Abstract: A Dynamic Bayesian Network provides models that provides emulation of patient data.

Abstract: A system and method for loading and displaying a guideline graph based on a first user input, receiving a second user input selecting a desired portion of the guideline graph and processing the second user input to load and display a sub-graph including the desired portion of the guideline graph.

Abstract: A system and method for receiving an input including a condition corresponding to a patient, retrieving a set of recommendations corresponding to the condition, displaying at least a portion of the set of recommendations to a user, receiving an input that one of the recommendations has been completed and modifying the display of the recommendations based on the input that the one of the recommendations has been completed.

Abstract: A Dynamic Bayesian Network provides models that provides emulation of patient data.

Abstract: The present invention deals with sampling-based robust inference for decision support systems (DSS). The invention relates to a method of operating a decision support system comprising at least one Bayesian network, to a decision support system and to a computer program product for implementing the system. The system comprising at least one Bayesian network (1), comprising a plurality of nodes (2, 20, 21), each node associated with parameters (4, 200, 210) expressing prior probabilities. At least a subset of the parameters stores a value range (6), and a set of probabilities of interest are calculated based on the parameters.

Abstract: A Dynamic Bayesian Network provides models the cardiovascular system and provides emulation of patient data.

Abstract: A method and apparatus for downscaling video images to a lower resolution (e.g. from HDTV to SDTV) is presented. The method comprising the steps of frequency domain anti-aliasing filtering and downscaling the first video signal in a first direction corresponding with a line direction in the first video signal to obtain a downscaled video signal, and spatial domain downscaling the downscaled video signal in a second direction perpendicular to the first direction to obtain the second video signal. The method and apparatus of the invention are suitable for efficient and high quality decoding both progressive and any-type encoded interlaced signals.

Abstract: A method and apparatus for downscaling video images to a lower resolution (e.g. from HDTV to SDTV) is presented. The method comprising the steps of frequency domain anti-aliasing filtering and downscaling the first video signal in a first direction corresponding with a line direction in the first video signal to obtain a downscaled video signal, and spatial domain downscaling the downscaled video signal in a second direction perpendicular to the first direction to obtain the second video signal. The method and apparatus of the invention are suitable for efficient and high quality decoding both progressive and any-type encoded interlaced signals.

Abstract: Methods and apparatus for viewing a secondary television program simultaneously with a primary program. The apparatus includes a receiver for receiving a primary program and one or more secondary programs transmitted by a transmission source; a monitor adapted to display at least one of the primary program and the secondary programs; and a handheld device adapted to display at least a portion of one of the primary program and the secondary programs, wherein the program displayed on the handheld device is that which is not displayed on the monitor.