Abstract: Techniques for monitoring data transport in a network virtualization function (NVF) chain. A path tracing packet is generated having a Midpoint Compressed Data (MCD) to collect path tracing information of the NVF chain. The NVF node is configured to record an MCD containing Wide Local Path Tracing Identification (WL PT ID). The WL PT ID includes a first field having a value that indicates that a non-standard path tracing format is to be used and has a second field that indicates a particular path tracing format to be used. The path tracing packet is passed through the NVF chain and is then received back again after passing through the NVF chain. Data collected by the path tracing packet is analyzed to determine which NVF nodes the path tracing packet passed through, and the amount of time taken for the path tracing packet to pass through, the NVF chain.

Abstract: Techniques for monitoring data transport in a network virtualization function chain (chain). A path tracing packet is generated having a Midpoint Compressed Data (MCD) to collect path tracing information of the chain. The network virtualization function node is configured to record an MCD containing Wide Local Path Tracing Identification (WL PT ID). The WL PT ID includes a first field having a value that indicates that a non-standard path tracing format is to be used and a second field that indicates a particular path tracing format to be used. The path tracing packet is passed through the chain and is received back after passing through the chain. Data collected by the path tracing packet is then analyzed to determine which network virtualization function nodes and chains the path tracing packet passed through and the amount of time taken for the path tracing packet to pass through the chain.

Abstract: Simulator augmented content selection is provided by initializing a content selection object according to session initialization parameter values associated with a simulated media content playback session. The content selection object corresponds to a candidate content selection machine learning model trained to predict selectable content media items for at least one simulated user. A simulated session including a sequence of predicted simulated user next actions and one or more predicted sets of selectable content items are generated by applying a simulated user model to content items identified by the initialized content selection object, where the simulated user model is trained to predict a next action of the simulated user in response to a simulated playback input received from the simulated user and each set of the selectable content items are correlated to each next action in the sequence of predicted simulated user next actions.

Abstract: Techniques for monitoring data transport in a network virtualization function chain (chain). A path tracing packet is generated having a Midpoint Compressed Data (MCD) to collect path tracing information of the chain. The network virtualization function node is configured to record an MCD containing Wide Local Path Tracing Identification (WL PT ID). The WL PT ID includes a first field having a value that indicates that a non-standard path tracing format is to be used and a second field that indicates a particular path tracing format to be used. The path tracing packet is passed through the chain and is received back after passing through the chain. Data collected by the path tracing packet is then analyzed to determine which network virtualization function nodes and chains the path tracing packet passed through and the amount of time taken for the path tracing packet to pass through the chain.

Abstract: Methods, systems and computer program products are provided for content generation. A distribution of policies is defined based on an action space. Distribution parameters are received from a reinforcement learning (RL) algorithm. In turn, a policy is randomly sampled from the distribution of policies. A candidate content item is generated using the sampled policy. A quality of the candidate content item is measured based on a predefined quality criteria and a parameter model is adjusted as specified by the reinforcement learning algorithm to obtain a plurality of updated distribution parameters. Environment settings are passed to a trained parameter model to obtain a plurality of policy distribution parameters. A predetermined number of policies from the distribution of policies are then sampled and the plurality of environment settings are passed to the predetermined number of sampled policies to obtain at least one content item.

Abstract: A method is described, for processing images of persons or objects to generate an identity preservative feature descriptor learnt for each person or object. The method includes obtaining an image of a person or object, extracting at least one spatial attribute of the person or object from the obtained image, and extracting at least one appearance feature of the person or object from the image by using a mapping function to translate image pixels into appearance attributes represented by at least one numerical feature. The method also includes combining the at least one spatial attribute and the at least one appearance feature to generate the unique feature descriptor representing the person or the object, to assign the unique feature descriptor to the image to enable feature descriptors representing the same person or object to be compared to feature descriptors representing different people or objects given a predefined mathematical pseudo-distance metric according to a least a distance from each other.

Abstract: Methods and apparatus are disclosed to label radiology images are disclosed. An example apparatus, includes: means for obtaining user input identifying a vertebra on a spinal image; means for generating first annotations on the spinal image based on: 1) the user input; 2) connected regions on the spinal image; and 3) a number of viewable vertebrae on the spinal image; means for generating second annotations on the spinal image based on: 1) the error; 2) second connected regions on the spinal image; and 3) the number of viewable vertebrae on the spinal image, the second connected regions on the spinal image being determined based on second contextual-information features that account for the error; means for displaying the spinal image including the second annotations; means for validating the second annotations in association with the spinal image; and means for storing the second annotations in association with the spinal image.

Abstract: Methods and apparatus are disclosed to label radiology images are disclosed. An example apparatus, includes: means for obtaining user input identifying a vertebra on a spinal image; means for generating first annotations on the spinal image based on: 1) the user input; 2) connected regions on the spinal image; and 3) a number of viewable vertebrae on the spinal image; means for generating second annotations on the spinal image based on: 1) the error; 2) second connected regions on the spinal image; and 3) the number of viewable vertebrae on the spinal image, the second connected regions on the spinal image being determined based on second contextual-information features that account for the error; means for displaying the spinal image including the second annotations; means for validating the second annotations in association with the spinal image; and means for storing the second annotations in association with the spinal image.

Abstract: Methods and apparatus are disclosed to label radiology images. An example system includes a processor and a database. In response to receiving a first user input via a data input, the processor is to generate first annotations on a spinal image. The processor is to cause the spinal image having the first annotations to be displayed at a user interface. The processor is to prompt a user to provide second user input identifying an error in the first annotations. In response to receiving the second user input, the processor is to generate second annotations on the spinal image. The second annotations is to correct the error in the first annotations.

Abstract: Systems, methods and computer program products to annotate axial-view spine images with the desired characteristics of not requiring additional views of the spine or cross-referencing features are provided. In one aspect, the disclosed method does not require external training from a manually-labeled data set while being applicable to different imaging modalities and acquisition protocols. In one aspect, the disclosed method achieves near real-time results using integral kernels when implemented on a Graphics Processing Unit.

Abstract: Systems, methods and computer program products to annotate axial-view spine images with the desired characteristics of not requiring additional views of the spine or cross-referencing features are provided. In one aspect, the disclosed method does not require external training from a manually-labeled data set while being applicable to different imaging modalities and acquisition protocols. In one aspect, the disclosed method achieves near real-time results using integral kernels when implemented on a Graphics Processing Unit.

Abstract: Methods and apparatus are disclosed to methods and apparatus to generate three-dimensional spinal renderings. An example computer-implemented method includes receiving initial user input identifying a vertebra on a spinal image. In response to receiving the initial user input, simultaneously detecting inter-vertebral discs and vertebral bodies. The computer-implemented method includes displaying the detected inter-vertebral discs and vertebral bodies.

Abstract: A method for securing data on a mobile device by combining multi-factor, auto-login, encryption and proximity. The method uses a wireless device to store encryption keys, provides a first stage decryption to decrypt the user credentials and login to a container, and a second stage decryption to decrypt the user data and display it. The method also locks the data when the user leaves proximity. This method is immune to physical attacks or jailbreaks.

Abstract: A method and apparatus for changing authentication for a legacy access interface using an access adapter and a token device. The method enables to change authentication factors based on context and allows secure multi-user sharing of legacy applications.

Abstract: Methods and apparatus are disclosed to automatically detect vertebrae boundaries in a spine image. A method to detect a vertebra in a spine image is described, the method comprising generating a rectangle approximation of a reference vertebra. The method also including identifying a mask similar to the rectangle approximation and labeling a mask region in the mask. The method also including comparing the mask region to the rectangle approximation and detecting a vertebra in the spine image based on the comparison.

Abstract: A method for downloading a first application to a target system through a host system consisting of downloading a first application adapted to run on a host system from a program store to a host system, and subsequently downloading a second application adapted to run on a target system from the host system to the target system. The first application and the second application enable the host system and the target system to exchange information.

Abstract: Methods and apparatus are disclosed to methods and apparatus to generate three-dimensional spinal renderings. An example computer-implemented method includes receiving initial user input identifying a vertebra on a spinal image. In response to receiving the initial user input, simultaneously detecting inter-vertebral discs and vertebral bodies. The computer-implemented method includes displaying the detected inter-vertebral discs and vertebral bodies.