Abstract: Provided is a method for normalizing embeddings for cross-embedding alignment. The method may include applying mean centering to the at least one embedding set, applying spectral normalization to the at least one embedding set, and/or applying length normalization to the at least one embedding set. Spectral normalization may include decomposing the at least one embedding set, determining an average singular value of the at least one embedding set, determining a respective substitute singular value for each respective singular value of a diagonal matrix, and/or replacing the at least one embedding set with a product of the at least one embedding set, a right singular vector, and an inverse of the substitute diagonal matrix. The mean centering, spectral normalization, and/or length normalization may be iteratively repeated for a configurable number of iterations. A system and computer program product are also disclosed.

Abstract: Methods, systems, and computer program products for universal depth graph neural networks may obtain a graph G including an adjacency matrix A and an attribute matrix X and train a graph convolutional network using according to the following updating Equation: H=?(?dXW), where H is an output embedding matrix, ?(·) is a nonlinear activation function, S is a filter, X is an attribute matrix, W is a trainable weight matrix, and d is a trainable depth parameter.

Abstract: The present disclosure relates to an interaction method, a readable medium, and an electronic device. The interaction method includes: displaying a search result page in response to a search operation triggered by a search keyword, the search result page displaying search result content obtained by searching based on the search keyword and multimedia content triggered and displayed by the search keyword; displaying an interactive control after the multimedia content is displayed for a first preset time, the interactive control being used for triggering and displaying a target landing page corresponding to the multimedia content; and displaying the target landing page in response to a trigger operation for the interactive control.

Abstract: A positioning assisting method for an image capture apparatus, and a medical imaging system is provided. The method includes: determining a plurality of image capture apparatus parameters corresponding to a plurality of regions in the medical imaging system; selecting, from the plurality of image capture apparatus parameters, an image capture apparatus parameter corresponding to a region in which a site to be examined of a subject under examination is located; and performing processing of positioning of the site to be examined according to the selected image capture apparatus parameter.

Abstract: A method for optimizing the conversion of a deep learning model to process other data, applied in a device, includes converting a first deep learning model to obtain a second deep learning model, obtaining a weighting arrangement of the two models according to their deep learning frameworks and performing a quantization on the two models. A similarity in weighting between the two models is analyzed to produce a weighting analysis based on the first and second weighting arrangement and the first and second model quantization result weighting. The two models are tested to establish a model performance analysis. One or more suggestions for optimization are obtained based on the weighting analysis and the model performance analysis, and are applied to optimize the second deep learning model, an optimized second deep learning model being employed to process the other data.

Abstract: A method performed by a computer is disclosed. The method includes receiving a dataset including one or more data fields. The computer can then receive instructions to compute an aggregate feature of the dataset. The computer can then determine an operator and a window based on the aggregate feature to be computed. The method may then include the computer processing the dataset. The compute may then apply the operator with the window to the processed dataset to compute the aggregate feature of the dataset.

Abstract: A developing cartridge can be detachably installed on a drum cartridge in an image forming apparatus, where a mounting cavity is provided on the drum cartridge and a photosensitive drum and a first groove wall are provided in the mounting cavity. The developing cartridge includes: a casing having a first side and second side arranged oppositely along a first direction, where the casing can be installed in the mounting cavity along a second direction; a developing roller rotatably arranged in the casing, where the rotation axis of the developing roller is parallel to the first direction; and a separator including a force-receiving part, where a first inclined surface is formed on the force-receiving part, and the first inclined surface receives a separation force provided by the image forming apparatus and drives the casing to move in a direction away from the photosensitive drum.

Abstract: A bicycle component comprises a main body and a controller. The main body comprises an attaching portion configured to attach to a bicycle. The controller is disposed in the main body, wherein the controller is configured to electrically connect to one of a first power source and a second power source, the first power source and the second power source are different in an electricity characteristic, and the controller comprises: a power detecting module configured to determine whether a power received by the controller is from the first power source or the second power source; and a wireless transmission module electrically connecting to the power detecting module, wherein the wireless transmission module performs a pairing procedure when the power detecting module determines that the power received by the controller is from the first power source.

Abstract: The disclosure provides a method and a related device for interacting based on a virtual object. The method includes: displaying a first page for presenting target content, where the first page includes a first control, and the first control includes an icon of the virtual object; playing a first animation corresponding to the virtual object in response to a trigger instruction for the first control; and displaying a second page related to the target content in response to the completion of playing of the animation. By playing the animation on the first page, the content displayed on the first page is diversified, thereby increasing the interest of the interaction.

Abstract: An electrolyzer includes a casing and an electrolytic device. The casing includes two side plates. The electrolytic device is disposed between the two side plates, and the electrolytic device includes a plurality of porous layers, a plurality of current collector plates, a plurality of membranes and a plurality of heating units. The current collector plates are arranged in an alternating manner with the porous layers. The membranes are disposed corresponding to the porous layers. The heating units are respectively disposed on at least some of the current collector plates.

Abstract: A keypoint detection method for medical imaging, a medical imaging method and a medical imaging system is presented. The keypoint detection method for medical imaging includes: acquiring a color image and a depth image of a subject, the color image being synchronized with the depth image in a temporal dimension; performing image fusion on the color image and the depth image, to generate a fused image; and performing keypoint detection on the fused image, to generate keypoint distribution information of the subject.

Abstract: An electronic display including a display panel that includes a plurality of display pixels having non-uniform luminance characteristics. The electronic display also includes pixel uniformity correction circuitry configured to compensate for the non-uniform luminance characteristics of the display pixels based on a pixel luminance correction factor selected based on pixel group luminance error patterns corresponding to locations of the display pixels.

Abstract: The present disclosure provides a method for detection of soil heavy metal pollution using an unmanned aerial vehicle (UAV) and an X-ray fluorescence (XRF) technology. Based. Based on hardware equipment such as the UAV, XRF analyzer, and embedded equipment, the present disclosure develops an altitude hold module of the system and a ground-contact monitoring module, and assists the UAV to achieve safe and accurate fixed-point hovering, and develops a driving device for data acquisition to replace manual control and realize the automatic acquisition of XRF data. The data inversion method is realized by using embedded equipment, and after the data is acquired by the portable XRF analyzer near the ground, the algorithm research of inversion processing of contents of heavy metal elements in soil is realized, such that the portable XRF analyzer can automatically and accurately detect the contents of heavy metals in soil at a certain distance.

Abstract: Methods, systems, and computer program products may simplify Transformer machine learning models for sequential recommendation via a softmax-free gated attention mechanism and/or may use a gated unit to further sparsify attentions, which may simplify attention distributions and reduce negative impacts of noisy items.

Abstract: The present application discloses a method for preventing a fall of an operator, a controller, a safety belt and a computer-readable storage medium. The method for preventing a fall of an operator includes obtaining magnetic field information of the safety belt body worn by the operator, querying a preset fixed state mapping table based on the magnetic field information of the safety belt body to obtain a fixed state of the safety belt, the fixed state mapping table is configured to save a mapping relationship between the magnetic field information and the fixed state; and outputting a warning signal based the fixed state.

Abstract: In an example embodiment, a machine learned model is utilized for identifying duplicate crash dumps. After a developer submits code, corresponding test cases are used to ensure the quality of the software delivery. Test failures can occur during this period, such as crashes, errors, and timeouts. Since it takes time for developers to resolve them, many duplicate failures can occur during this time period. In some embodiments, trash triggering is the most time-consuming task of development, and thus if duplicate crash failures can be automatically identified, the degree of automation will be significantly enhanced. To locate such duplicates, a training-based machine learned model uses component information of an in-memory database system to achieve better crash similarity comparison.

Abstract: A method for training a depth estimation model is provided. The method includes obtaining a first left image and a first right image. A disparity map is obtained by inputting the first left image into a depth estimation model. A second right image is obtained by adding the first left image to the disparity map. The first left image is converted into a third right image. A mask image is obtained by performing a binarization processing on a pixel value of each of pixel points of the third right image. Once a loss value of the depth estimation model is obtained by calculating a mean square error of pixel values of all corresponding pixel points of the first right image, the second right image, and the mask image, a depth estimation model is iteratively trained according to the loss value.

Abstract: In implementations of the subject matter as described herein, there is provided a method for forgery detection of a face image. Subsequent to inputting a face image, it is detected whether a blending boundary due to the blend of different images exists in the face image, and then a corresponding grayscale image is generated based on a result of the detection, where the generated grayscale image can reveal whether the input face image is formed by blending different images. If a visible boundary corresponding to the blending boundary exists in the generated grayscale image, it indicates that the face image is a forged image; on the contrary, if the visible boundary does not exist in the generated grayscale image, it indicates that the face image is a real image.

Abstract: Methods, systems, and computer program products are provided for encoding feature interactions based on tabular data. An exemplary method includes receiving a dataset in a tabular format including a plurality of rows and a plurality of columns. Each column is indexed to generate a position embedding matrix. Each column is grouped based on at least one tree model to generate a domain embedding matrix. An input vector is generated based on the dataset, the position embedding matrix, and the domain embedding matrix. The input vector is inputted into a first multilayer perceptron (MLP) model to generate a first output vector, which is transposed to generate a transposed vector. The transposed vector is inputted into a second MLP model to generate a second output vector, which is inputted into at least one classifier model to generate at least one prediction.

Abstract: The present application provides an extra-thick Q500qE bridge steel plate and a production method therefor. The production method involves direct rolling of the slab after three-stage heating before rolling and three-stage cooling of the steel plate after rolling. This method can produce a Q500qE steel plate with a maximum thickness of 150 mm, which meets the Z35 level Z-direction tensile performance requirements and the nondestructive testing requirements of Grade II or above according to GB/T 2970-2016 standard. The production process is simple, efficient, and cost-effective.