Abstract: A computer-implemented method for determining image similarity includes determining, by a first neural network, a first feature value associated with a first characteristic of a first product based on an image of the first product. The method also includes determining, by a second neural network, a second feature value associated with a second characteristic of the first product based on the image of the first product. The method further involves calculating a first vector space distance between the first feature value and a third feature value associated with the first characteristic of a second product, and calculating a second vector space distance between the second feature value and a fourth feature value associated with the second characteristic of the second product. Additionally, the method includes determining a similarity value based on the first vector space distance and the second vector space distance.

Abstract: Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having one or more additional video frames.

Abstract: A Method comprising the steps of, acquiring an input about the target object class to be searched within the image; associating a set of morphological and chromatic parameters to a pre-set initialization value range selected from a library on the basis of the input; processing the tissue image on the basis of the selected parameters via a first segmentation (based on object based thresholding, morphological filtering, active contouring) algorithm to identify objects within the desired target object class; providing a result set comprising the objects complying with parameters within the pre-set initialization value range; checking whether a count of objects within the result set is below a predefined threshold and either entering an initial loop if the count is below the predefined threshold, or entering an adaptation branch.

Abstract: A wireless communication adapter device includes an enclosure and a communication device base. The communication device base includes a first switch and a wireless communication transceiver. The communication device base is inserted into the enclosure so that the communication device base can move along an axis within the enclosure from a first base position and a second base position. Such movement actuates the first switch against the enclosure to initiate one or more communication operations of the wireless communication transceiver in the communication device base.

Abstract: System for image correction in PET is provided. The system may acquire a PET image and a CT image of a subject. The system may generate, based on the PET image and the CT image, an attenuation-corrected PET image of the subject by application of an attenuation correction model. The attenuation correction model may be a trained cascaded neural network including a trained first model and at least one trained second model downstream to the trained first model. During the application of the attenuation correction model, an input of each of the at least one trained second model may include the PET image, the CT image, and an output image of a previous trained model that is upstream and connected to the trained second model.

Abstract: Systems and methods are disclosed for training neural networks using labels for training data that are dynamically refined using neural networks and using these trained neural networks to perform detection and/or classification of one or more objects appearing in an image. Particular embodiments may generate a set of crops of images from a corpus of images, then apply a first neural network to the set of crops to obtain a set of respective outputs. A second neural network may then be trained using the set of crops as training examples. The set of respective outputs may be applied as labels for the set of crops.

Abstract: A first subset of pixels of an image may be labeled with an object identifier based on user interactions with the image. Pixel data representing the pixels of the image may be passed through an embedding neural network model to generate pixel embedding vectors. A prototype embedding vector associated with the object identifier may be generated based pixel embedding vectors corresponding to the first subset of pixels. For each pixel of a second subset of pixels of the image, a probability that the pixel should be labeled with the object identifier may be determined based on the prototype embedding vector and pixel embedding vectors corresponding to the second subset of pixels. Pixels of the second subset of pixels may be labeled with the object identifier based on the determined probabilities, and the pixels in the image may be segmented based on the pixels labeled with the object identifier.

Abstract: The present disclosure relates to a method by which a third device transmits audio data in a short-range wireless communication system, and to an apparatus therefor. According to the present specification, the method by which a third device transmits audio data in a short-range wireless communication system comprises the steps of: transmitting, to at least one device, a first advertisement message for providing a broadcast audio data streaming service; transmitting, to the at least one device, a second advertisement message related to synchronization of an audio data output time point, wherein the second advertisement message includes force delay information for synchronizing a time point at which the audio data is output from each of the at least one device; and transmitting the audio data to the at least one device, wherein the time point at which the audio data is output from each of the at least one device is determined on the basis of the force delay information.

Abstract: A method, apparatus, and system for beamforming training using a wireless transmit receive unit (WTRU). A WTRU may receive an indication of a number of space time slots (STSs) from an access point (AP) within a beacon frame during a beamforming training allocation. The WTRU may send a response signal to the AP in a specific STS based on a function of the number of STSs. The WTRU may receive an acknowledgement (ACK) from the AP confirming the response was received. Alternatively, the AP may send a signal indicating that a collision occurred and alter the number of STSs, and the WTRU may try again in the next beamforming training allocation.

Abstract: The present disclosure relates to a method, device and computer program for communicating information relating to wireless power transmission, and a recording medium thereof. A quick discovery method by means of out-of-band (OOB) in a wireless power transmission system according to an embodiment of the present disclosure can comprise the steps in which: a power transmitter (PTX) receives one or more advertisement data items from a power receiver (PRX) in the OOB; the PTX obtains a first service or characteristic of the PRX in the OOB on the basis of the advertisement data items; power transmission from the PTX to the PRX is initiated in-band on the basis of the first service or characteristic; and the PTX obtains a second service or characteristic of the PRX in the OOB after the power transmission has been initiated.

Abstract: Embodiments of this application relate to the field of communications technologies, and provide an interaction control method and apparatus, a terminal, and a storage medium. The interaction control method includes: acquiring near field communication (NFC) device status information in response to triggering of NFC, where the NFC device status information includes status information of a master device and status information of a slave device; and providing an interactive function corresponding to the acquired NFC device status information according to a preset mapping relationship, and executing the interactive function in response to a trigger condition to realize information exchange between the master device and the slave device.

Abstract: Aspects of the present invention provide an approach for reinforcement learning for unsupervised video summarization with piecewise linear interpolation. A candidate importance score is anticipated by training a video summarization network using a set of video frames in a video. The candidate importance score is interpolated with respect to other candidate importance scores in the video in order to generate a selection probably for each frame of the video. A video summarization that includes a set of selected frames is generated frame selection probability.

Abstract: Systems, apparatus, and methods are disclosed for foreline diagnostics and control. A foreline coupled to a chamber exhaust is instrumented with one or more sensors, in some embodiments placed between the chamber exhaust and an abatement system. The one or more sensors are positioned to measure pressure in the foreline as an indicator of conductance. The sensors are coupled to a trained machine learning model configured to provide a signal when the foreline needs a cleaning cycle or when preventive maintenance should be performed. In some embodiments, the trained machine learning predicts when cleaning or preventive maintenance will be needed.

Abstract: A style-based generative network architecture enables scale-specific control of synthesized output data, such as images. During training, the style-based generative neural network (generator neural network) includes a mapping network and a synthesis network. During prediction, the mapping network may be omitted, replicated, or evaluated several times. The synthesis network may be used to generate highly varied, high-quality output data with a wide variety of attributes. For example, when used to generate images of people's faces, the attributes that may vary are age, ethnicity, camera viewpoint, pose, face shape, eyeglasses, colors (eyes, hair, etc.), hair style, lighting, background, etc. Depending on the task, generated output data may include images, audio, video, three-dimensional (3D) objects, text, etc.

Abstract: A Bluetooth communication system, including first and second Bluetooth devices. The second device includes a second Bluetooth application and a second Bluetooth host. The first device sends advertising information that includes UUID information of a service supported by the first device; the second host receives the advertising information, the advertising information includes the UUID information of the service supported by the first device; the second host stores and parses the UUID information, and sends a pairing request to the first device; the first device pairs with the second device; the second device instructs the second host to report pairing to the second application, the pairing information including UUID information of the service supported by the first device; the second Bluetooth device sends a service connection request to the first device; and the first device is further configured to establish a service connection to the second device.

Abstract: The embodiment of the present application discloses a Bluetooth communication method, comprising: detecting a posture of a mobile terminal; establishing a Bluetooth connection with a desired Bluetooth device when a first posture is detected; and/or disconnecting the Bluetooth connection when a second posture is detected, wherein the second posture is different from the first posture.

Abstract: Techniques are described to detect and classify, with high accuracy, events associated with objects using image data analysis and computer vision. In an embodiment, an image capturing device captures an image of an area, which includes objects such as fixed objects. The process determines that an event associated with an object occurred by providing the captured image as input data to an ML model. The ML model is trained to identify such objects and events associated with the objects. The process determines image coordinate information of the event identified within the image and, based at least on mapping data of the area to the image coordinate information, determines that a fixed object of the area is associated with the event. Metrics may be calculated for the fixed object and detected events.

Abstract: A flexible display may suppress a generation of cracks in an inorganic layer and suppress the spread of cracks. A flexible display includes a flexible substrate and an inorganic layer formed on the flexible substrate. A display unit is formed on the inorganic layer. The display unit includes a plurality of pixels. Each pixel includes an organic light emitting diode. A thin film encapsulation layer covers the display unit. A crack suppressing layer is formed along the edge of the flexible substrate. The crack suppressing layer is disposed on the inorganic layer at an exterior side of the thin film encapsulation layer.

Abstract: A magnetic device and method for programming the magnetic device are described. The magnetic device includes a plurality of magnetic junctions and at least one spin-orbit interaction (SO) active layer having a plurality of sides and an axis. The SO active layer(s) carry a current in direction(s) substantially perpendicular to the plurality of sides along the axis. Each of the magnetic junction(s) is adjacent to the sides and substantially surrounds a portion of the SO active layer. Each magnetic junction includes a free layer, a reference layer and a nonmagnetic spacer layer between the pinned and free layers. The SO active layer(s) exert a SO torque on the free layer due to the current passing through the SO active layer(s). The free layer is switchable between stable magnetic states. The free layer may be written using the current and, in some aspects, another current driven through the magnetic junction.

Abstract: A method of manufacturing a semiconductor device includes: the first step of forming a gate electrode over a silicon substrate, with a gate insulating film; and the second step of digging down a surface layer of the silicon substrate by etching conducted with the gate electrode as a mask. The method of manufacturing the semiconductor device further includes the third step of epitaxially growing, on the surface of the dug-down portion of the silicon substrate, a mixed crystal layer including silicon and atoms different in lattice constant from silicon so that the mixed crystal layer contains an impurity with such a concentration gradient that the impurity concentration increases along the direction from the silicon substrate side toward the surface of the mixed crystal layer.