Abstract: End to end differentiable machine vision systems, training methods, and processor-readable media are disclosed. A differentiable image signal processor (ISP) is disclosed that can be trained, using machine learning techniques, to adapt raw images received from a new sensor into an adapted images of the same type (i.e. in the same visual domain) as the images previously used to train a perception module, without fine-tuning the perception module itself. The differentiable ISP may include functional blocks for performing specific image enhancement operations using a relatively small number of learned parameters corresponding to meaningful characteristics of the image enhancement operations.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: End to end differentiable machine vision systems, training methods, and processor-readable media are disclosed. A differentiable image signal processor (ISP) is disclosed that can be trained, using machine learning techniques, to adapt raw images received from a new sensor into an adapted images of the same type (i.e. in the same visual domain) as the images previously used to train a perception module, without fine-tuning the perception module itself. The differentiable ISP may include functional blocks for performing specific image enhancement operations using a relatively small number of learned parameters corresponding to meaningful characteristics of the image enhancement operations.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: A method for determining a point spread function (PSF) of a camera, comprising: displaying on a display at least two images comprising visual features, elements having a different optical intensity, and a test pattern; acquiring the images using the camera; determining a coordinate transformation using the image comprising the visual features and its corresponding acquired image, the coordinate transformation for aligning together a coordinate system of the camera and a coordinate system of the display; aligning the acquired image comprising the elements having a different optical intensity using the determined coordinate system and determining a difference of intensity between the displayed image comprising the elements having a different optical intensity and the corresponding acquired image; aligning the acquired image comprising the test pattern and correcting an intensity of the acquired image comprising the test pattern, thereby obtaining a corrected image; and estimating a PSF using the corrected image

Abstract: A method for determining a point spread function (PSF) of a camera, comprising: displaying on a display at least two images comprising visual features, elements having a different optical intensity, and a test pattern; acquiring the images using the camera; determining a coordinate transformation using the image comprising the visual features and its corresponding acquired image, the coordinate transformation for aligning together a coordinate system of the camera and a coordinate system of the display; aligning the acquired image comprising the elements having a different optical intensity using the determined coordinate system and determining a difference of intensity between the displayed image comprising the elements having a different optical intensity and the corresponding acquired image; aligning the acquired image comprising the test pattern and correcting an intensity of the acquired image comprising the test pattern, thereby obtaining a corrected image; and estimating a PSF using the corrected image

Abstract: A method and apparatus for providing an integrated communication services (ICS) network that permits data subscribers to share information on a hospital campus using wireless or wireline local area networks, or to seamlessly tap into the facility's central database while in transit away from the hospital. The central database, referred to as the integrated communications clearinghouse (ICC) is adapted to store a communication profile for every network server on the ICS network. The ICC also maintains a Global Patient Profile (GPP), consisting of a patient profile for every patient on the network. The GPP provides the ICC with the capability of providing aggregated data and demographic information, creating “live” public health statistics through a single query to a central server. The actual selection of a particular channel to access the ICS will be service-dependent and a function of user whereabouts, desired quality of the connection, and costs of the connection.

Abstract: A method and apparatus is disclosed for providing an integrated communication services (ICS) network that permits wireless and wireline data subscribers to share information on a hospital campus using wireless or wireline local area networks, or to seamlessly tap into the facility's central database while in transit away from the hospital. Users interface with the ICS network through the use of a point of care terminal that resembles a clipboard and accepts data entry from a stylus on an touch screen. The central database, referred to as the integrated communications clearinghouse (ICC) is adapted to store a communication profile for every network server on the ICS network. The ICC also maintains a Global Patient Profile (GPP), consisting of a patient profile for every patient ever added to the network.

Abstract: A method and apparatus is disclosed for providing an integrated communication services (ICS) network that permits wireless and wireline data subscribers to share information on a hospital campus using wireless or wireline local area networks, or to seamlessly tap into the facility's central database while in transit away from the hospital. Users interface with the ICS network through the use of a point of care terminal that resembles a clipboard and accepts data entry from a stylus on an touch screen. The central database, referred to as the integrated communications clearinghouse (ICC) is adapted to store a communication profile for every network server on the ICS network. The ICC also maintains a Global Patient Profile (GPP), consisting of a patient profile for every patient ever added to the network.

Abstract: A method and system of accessing an information system using a portable access device is provided. The method includes identifying a communication profile associated with a first network server, attempting, by the portable access device, to establish a communication link between the portable access device and the first network server using communication channel that is selected by the portable access device based on the communication profile, a location of the portable access device with respect to the first network server, a desired quality of the communication link, and a cost of the communication link, attempting to establish the communication link includes using at least a portion of the description information, and capturing data received by the portable access device in a memory located in the portable access device in accordance with a failed attempt to establish the communication link.

Abstract: A hybrid causal framework applies properties of probabilistic models, such as Bayesian belief networks, to causal logic models, such as fault trees and event sequence diagrams. The probabilistic model establishes a joint probability distribution of causal relationships between events and conditions in the logic models. The probability of the events and conditions are found by propagating probabilities from the probabilistic model through the logic models.

Abstract: A method and apparatus is disclosed for providing an integrated communication services (ICS) network that permits wireless and wireline data subscribers to share information on a hospital campus using wireless or wireline local area networks, or to seamlessly tap into the facility's central database while in transit away from the hospital. Users interface with the ICS network through the use of a point of care terminal that resembles a clipboard and accepts data entry from a stylus on an touch screen. The central database, referred to as the integrated communications clearinghouse (ICC) is adapted to store a communication profile for every network server on the ICS network. The ICC also maintains a Global Patient Profile (GPP), consisting of a patient profile for every patient ever added to the network.

Abstract: A hybrid causal framework applies properties of probabilistic models, such as Bayesian belief networks, to causal logic models, such as fault trees and event sequence diagrams. The probabilistic model establishes a joint probability distribution of causal relationships between events and conditions in the logic models. The probability of the events and conditions are found by propagating probabilities from the probabilistic model through the logic models.

Abstract: A computer readable medium includes one or more sequences of one or more instructions for execution by one or more processors. The instructions when executed by the one or more processors cause the one or more processors to automatically insert common cause basic events into multiple tree structures in a risk model stored in a computer memory. The multiple tree structures are based on a single definition of the common cause failure group. The processors also replace regular basic events within the multiple structures with logigates including all common cause basic events associated with the common cause failure group.

Abstract: A computer readable medium includes one or more sequences of one or more instructions for execution by one or more processors. The instructions when executed by the one or more processors cause the one or more processors to automatically insert common cause basic events into multiple tree structures in a risk model stored in a computer memory. The multiple tree structures are based on a single definition of the common cause failure group. The processors also replace regular basic events within the multiple structures with logigates including all common cause basic events associated with the common cause failure group.

Abstract: A quantitative risk assessment system (QRAS) builds a risk model of a system for which risk of failure is being assessed, then analyzes the risk of the system corresponding to the risk model. The QRAS performs sensitivity analysis of the risk model by altering fundamental components and quantifications built into the risk model, then re-analyzes the risk of the system using the modifications. More particularly, the risk model is built by building a hierarchy, creating a mission timeline, quantifying failure modes, and building/editing event sequence diagrams. Multiplicities, dependencies, and redundancies of the system are included in the risk model. For analysis runs, a fixed baseline is first constructed and stored. This baseline contains the lowest level scenarios, preserved in event tree structure. The analysis runs, at any level of the hierarchy and below, access this baseline for risk quantitative computation as well as ranking of particular risks.