Abstract: A storage and display assembly for a shaving razor system. The assembly comprising has a case with a top portion and a bottom portion. The top and bottom portions being coupled together so as to be movable relative to one another between a closed position and an open position. The top and bottom portions, when in the closed position, define an inner cavity sized to receive the shaving razor system. A securement cover associated with the top and bottom portions to maintain the top and bottom portions in the to be moved to the open position. The securement cover comprises at least one of product indicia closed position. The securement cover being removable from the case to allow the top and bottom portions or product imagery.

Abstract: Methods and systems of navigating within a virtual environment are described. In an example, a processor may generate a portal that includes a set of portal boundaries. The processor may display the portal within a first scene of the virtual environment being displayed on a device. The processor may display a second scene of the virtual environment within the portal boundaries. The processor may receive sensor data indicating a movement of a motion controller. The processor may reposition the portal and the second scene in the first scene based on the sensor data, wherein the first scene remains stationary on the device during the reposition of the portal and the second scene. The processor may translate a location of the portal within the first scene to move the portal towards a user of the device until the second scene replaces the first scene being displayed on the device.

Abstract: A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.

Abstract: A storage assembly for a shaving razor system including a case with a top portion and a bottom portion and an insert including a material having a Shore A hardness of between 40 and 70. The insert includes one or more cavities configured to receive one or more components of the shaving razor system, and the bottom portion of the case defines a compartment configured to removably receive the insert within the bottom portion. Also provided is a method of assembling a storage assembly for a shaving razor system.

Abstract: The present invention relates to a method of removing contaminants from interior of a vehicle. The contaminants become suspended by an emulsification process and removed from the interior of the vehicle by a vacuum suction unit.

Abstract: In an embodiment, a method for fine-tuning a pre-trained neural network for transfer learning, the method comprising obtaining a first target feature vector from a first layer of a pre-trained neural network responsive to a first target data element of a target dataset passing therethrough, obtaining a first source feature vector associated with the first layer of the pre-trained neural network, calculating a first divergence value for the first layer of the pre-trained neural network based at least in part on the first target feature vector and the first source feature vector, and setting a learning rate for the first layer of the pre-trained neural network based at least in part on the first divergence value.

Abstract: An adhesive sport tissue having an elongated absorbent body including a first end and a second end of predetermined length, and a pair of opposing side edges of predetermined width extending between the first end and the second end. The adhesive sport tissue further comprising a front side and a rear side, wherein the rear side is securable to a user's skin or an article of clothing such that the front side faces away from the user. At least one sheet is disposed on the front side that is selectively removable by the user. The adhesive sport tissue further includes an upper layer that is permeable to moisture and a moisture-absorbent inner core layer that tapers inwardly from the pair of opposing side edges, and a plurality of adhesive strips disposed on the rear side. In one embodiment, a scented layer is also included.

Abstract: A method for authenticating a user is presented. Responsive to a request for access to a computer resource, a computer system prompts the user making the request to access the computer resource to perform a new motion in an environment in which the user is monitored by a sensor system. Detected biometric data in the new motion performed by the user is identified by the computer system. A determination is made as to whether the user performing the new motion is an authenticated user based on comparing the detected biometric data with stored biometric data for a prior motion performed by the authenticated user. The computer system provides access to the computer resource when the user is identified as the authenticated user.

Abstract: A system and a method of managing a manufacturing process includes receiving production data relating to the manufacturing process and determining an operational mode associated with the manufacturing process using historical, multivariate senor data. The method may further determine a recommended action to affect production based on the determined operational mode. The operational mode may be based on at least one of: a level of operation in a continuous flow process relating to a joint set of process variables, a representation of a joint dynamic of the set of process variables over a predefined length, and a joint configuration of an uptime/downtime of a plurality of units comprising a process flow.

Abstract: Systems, computer-implemented methods, and computer program products to generate virtual motion sensor data from computer animations are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a tracker component that can track virtual location data corresponding to a feature of a computer animated character in a virtual environment. The computer executable components can further comprise a virtual motion sensor component that, based on the virtual location data, can generate virtual motion sensor data.

Abstract: A system includes a virtual reality system configured to enable a user to interact with a virtual environment, a plurality of biofeedback sensors configured to monitor a user, and a computer system including a virtual reality module configured to generate at least a view of the virtual environment, a biofeedback module configured to fuse output of the plurality of biofeedback sensors with a plurality of events within the virtual environment, a training module configured to generate a model of user behavior, wherein the training module executed by the computer system enables the computer system to make a prediction of a user response of the user based on a corpus of biofeedback data, and an alert module configured to generate at least one alert to the user via the virtual reality system based on the user response predicted by the computer system.

Abstract: Whether to train a new neural network model can be determined based on similarity estimates between a sample data set and a plurality of source data sets associated with a plurality of prior-trained neural network models. A cluster among the plurality of prior-trained neural network models can be determined. A set of training data based on the cluster can be determined. The new neural network model can be trained based on the set of training data.

Abstract: Systems, computer-implemented methods, and computer program products to generate virtual motion sensor data from computer animations are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a tracker component that can track virtual location data corresponding to a feature of a computer animated character in a virtual environment. The computer executable components can further comprise a virtual motion sensor component that, based on the virtual location data, can generate virtual motion sensor data.