Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: A picture management method and device, a picture synchronization method and device are disclosed. The picture management method can be applied to a client device, and comprises: receiving picture tags generated by a server device performing an image analysis based on original picture features received by the server device, the original picture feature being an original picture itself or original picture parameter(s); and classifying and archiving the original pictures represented by the original picture features according to the picture tags.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: A picture management method and device, a picture synchronization method and device are disclosed. The picture management method can be applied to a client device, and comprises: receiving picture tags generated by a server device performing an image analysis based on original picture features received by the server device, the original picture feature being an original picture itself or original picture parameter(s); and classifying and archiving the original pictures represented by the original picture features according to the picture tags.

Abstract: A method for displaying images of a camera associated with a vehicle includes the steps of displaying the images in a first mode if a first condition is satisfied, and displaying the images in a second mode if a second condition is satisfied.

Abstract: According to some embodiments, data may be received from a plurality of intelligent electronic devices (e.g., such as a set of protective relays). For each intelligent electronic device, status information may be stored based on the received data. Moreover, the status information may be displayed via a graphical user interface for the plurality of the intelligent electronic devices. The stored status information may also be transmitted to a remote central server via a communication network.

Abstract: A method for displaying images of a camera associated with a vehicle includes the steps of displaying the images in a first mode if a first condition is satisfied, and displaying the images in a second mode if a second condition is satisfied.