Abstract: In embodiments of the present disclosure, a method, device and computer-readable medium for multi-source domain adaptation are provided. The method comprises generating a first representation of a target image through a first trained classifier, generating a second representation of the target image through a second trained classifier, and generating a third representation of the target image through a third trained classifier. A mutual learning is conducted among the first, second and third classifiers during the training. The method further comprises determining a classification label of the target image based on the first, second and third representations. The present disclosure proposes a mutual learning network for multi-source domain adaptation, which can improve the accuracy of label generation for images.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to detect and locate an object by processing video camera data with a capsule network, wherein training the capsule network includes determining routing coefficients with a scale-invariant normalization function. The computer can be further programmed to receive the detected and located object.

Abstract: Disclosed are systems and methods for determining similarities in content preferences among a plurality of users and generating content recommendations based on a requesting user's content consumption history. A requesting user may access the recommendation system to request content items for consumption. The recommendation system may be configured to identify users having consumed the same or similar content items as the requesting user, and to determine a ratio of content items consumed by the requesting user and an identified user to the total number of content items previously consumed by the requesting user. In one embodiment, the system may determine a degree of similarity in content preferences between the two users based on an inverse proportion of a level of popularity associated with the content items consumed by the requesting user and the identified user (e.g., sampled user).

Abstract: Systems and methods for providing an authenticated groupcast stream of content to destination receivers are disclosed. A method may include receiving information indicating that a media capturing source(s) located at a premises and destination receivers are included in a group. Content captured from a media capturing source(s) may be received. The content may include an image(s)/video(s) and a destination network address associated with the destination receivers. The content may be copied. The number of copies of content may correspond to a number of the destination receivers. A respective copy of the content may be sent to the destination receivers.

Abstract: A map of an area is generated from first sensor data of a first field of view including a blocked area and second sensor data of a second field of view having an unblocked view of the blocked area.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and dynamically updates an interactive user interface (UI) that comprises digital information related to multiple processes and operations. The UI provides uniform functionality across platforms, devices and/or services being utilized to view and/or interact with the UI and/or interface objects (e.g., tiles) included therein. The UI provides a dynamic mechanism for assets to be controlled, as well as mechanisms to compare the data of different assets by which certain assets can be subsequently manipulated.

Abstract: Disclosed are systems and methods for determining similarities in content preferences among a plurality of users and generating content recommendations based on a requesting user's content consumption history. A requesting user may access the recommendation system to request content items for consumption. The recommendation system may be configured to identify users having consumed the same or similar content items as the requesting user, and to determine a ratio of content items consumed by the requesting user and an identified user to the total number of content items previously consumed by the requesting user. In one embodiment, the system may determine a degree of similarity in content preferences between the two users based on an inverse proportion of a level of popularity associated with the content items consumed by the requesting user and the identified user (e.g., sampled user).

Abstract: A computing system receives first sensor data including moving objects and multi-modal LiDAR map data wherein the first sensor is calibrated based on a cost function that alternates between LiDAR map point cloud data and LiDAR map ground reflectivity data as input. The computing system can operate the vehicle based on the moving objects.

Abstract: Systems, apparatuses, and methods are described for detecting a state transition for sensors of a monitoring system, and determining whether the state transition is abnormal such that further action is warranted. The determination may be based on a history of state transitions in the monitoring system, and may be based on whether the same state transition has previously occurred at a corresponding time in the history, whether the new state has previously occurred following the corresponding time in the history, and other factors.

Abstract: A map of an area is generated from first sensor data of a first field of view including a blocked area and second sensor data of a second field of view having an unblocked view of the blocked area.

Abstract: A sensor system is disclosed. The sensor system may comprise a housing; an emitter, carried by the housing, that emits a beam comprising depth-data signals; a beam-distribution adjustment system; and a processor programmed to control the adjustment system by selectively changing an angular distribution of the depth-data signals emitted from the housing.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to detect and locate an object by processing video camera data with a capsule network, wherein training the capsule network includes determining routing coefficients with a scale-invariant normalization function. The computer can be further programmed to receive the detected and located object.

Abstract: A map of an area is generated from first sensor data of a first field of view including a blocked area and second sensor data of a second field of view having an unblocked view of the blocked area.

Abstract: An online automatic measurement system for a claw-pole overall magnetic property comprising: a feeding part, a claw-pole overall magnetic property measurement unit, and a discharging part disposed in sequence, and a robotic arm disposed there among. The robotic arm receives an operation instruction output by a control unit to grab claw poles to be measured in sequence and removes measured claw poles on the claw-pole overall magnetic property measurement unit. The claw-pole overall magnetic property measurement unit outputs a control power supply to the claw-pole overall magnetic property measurement unit according to the instruction of the control unit, receives an induction current of the measured claw poles, and output a measurement result to the control unit.

Abstract: A magnetic performance measuring device for serialized claw-pole generator rotors is consisted with: an excitation power supply turn-on mechanism, a rotor magnetic field detecting mechanism, a measuring position adjusting mechanism and a pressing mechanism that are successively and fixedly arranged, wherein the rotor magnetic field detecting mechanism including a detection box, a positioning base, an adjusting ring, a shaft sleeve and a serialized grooved magnetic conduction ring that are successively arranged in the detection box, and the adjusting ring and the shaft sleeve are used to position different models of tested rotors to achieve a serialized measurement.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to detect, classify and locate an object by processing video camera data with a capsule network, wherein training the capsule network includes saving routing coefficients. The computer can be further programmed to receive the detected, classified, and located object.

Abstract: A computing system receive first sensor data including moving objects and multi-modal LiDAR map data wherein the first sensor is calibrated based on a cost function that alternates between LiDAR map point cloud data and LiDAR map ground reflectivity data as input. The computing system can operate the vehicle based on the moving objects.

Abstract: A map of an area is generated from first sensor data of a first field of view including a blocked area and second sensor data of a second field of view having an unblocked view of the blocked area.

Abstract: A system, comprising a processor; and a memory, the memory including instructions to be executed by the processor to acquire a first image of a scene, acquire a second image of the scene while illuminating the scene, identify pixel blooming in a subtracted image determined by subtracting the first image from the second image, remediating the pixel blooming based on empirically determined parameters, and operate a vehicle based on the subtracted image.

Abstract: Disclosed are systems and methods for determining similarities in content preferences among a plurality of users and generating content recommendations based on a requesting user's content consumption history. A requesting user may access the recommendation system to request content items for consumption. The recommendation system may be configured to identify users having consumed the same or similar content items as the requesting user, and to determine a ratio of content items consumed by the requesting user and an identified user to the total number of content items previously consumed by the requesting user. In one embodiment, the system may determine a degree of similarity in content preferences between the two users based on an inverse proportion of a level of popularity associated with the content items consumed by the requesting user and the identified user (e.g., sampled user).