Alibaba Group Holding Limited

Vesoft Inc.

Zhejiang Huaray Technology Co., Ltd.

Yu Liu

Xiaomeng Ye

Min Wu

Ruitao Liu

Tong Yue

Chenguang Wang

Yujue Wang

Lu Zhou

Yunke Zhou

The present disclosure relates to systems and methods for object measurement. The systems may obtain an image of an object with a light bar acquired by an imaging device. The light bar may be formed by an optical sensor irradiating the object with a light beam. The systems may obtain a measurement model. The measurement model may be configured to simulate a curved surface formed by the light beam. The systems may determine position information of at least a portion of the object based at least in part on the image of the object with the light bar and the measurement model.

Systems and methods for object measurement

Disclosed are a method and a system for optimizing data storage of query statistics of a graph database. The method includes: periodically scanning, on storage servers in which partitions are located, all edges in the partitions; determining, according to all the edges in the partitions, partitions to which start points and end points belong, and calculating outgoing-edge correlation and incoming-edge correlation between partitions; calculating relevancies between partitions through a preset correlation matrix weight according to the outgoing-edge correlation and the incoming-edge correlation between partitions; and storing partitions with high relevancies on a same storage server. The present disclosure solves the problems of difficult optimization of storage distribution, as well as high resource consumption and low efficiency of query statistics of a graph database, and implements partition distribution of a graph database with an optimized distribution architecture, thereby reducing resource consumption of data calling and improving performance of the graph database.

Method and system for optimizing data storage of query statistics of graph database

Methods, apparatuses and electronic devices for generating a feature vector, as well as searching methods, apparatuses and electronic devices are disclosed. The method for generating a feature vector includes: acquiring data information; extracting a semantic feature from the data information, to acquire semantic feature information; and acquiring a feature vector of the data information by using a preset function, with the semantic feature information as a parameter. The technical solution identifies picture information by recognizing semantics of image information and matching the semantics of the image information with natural language descriptions. Different from conventional image search schemes of existing search engines, this technical solution does not need to retrieve a text description of image information, but retrieves and identifies images based on the content of the image information. Therefore, results with higher accuracy may be returned compared with the existing text-based image search.

Method, apparatus, and electronic devices for searching images

Growing community of inventors

Hangzhou, China

Yu Liu