App Annie Inc.

Telefonaktiebolaget Lm Ericsson (publ)

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Sankuai Online Technology Co., Ltd

Zhiming Zhang

Chen Liu

Fang Nan

Matthew James Hunter

Nicholas Ian McIntosh

Xuesong Ding

Feng Liu

Jiawei Xu

Mengmeng Liu

Bo Zhan

Wenyang Chen

Huiba Li

Nan Liang

Zhentao Liu

The present disclosure provides a spatial parking place detection method and device, a storage medium and a program product, which relate to the field of data processing and, in particular, to the fields of computer vision, autonomous parking and autonomous driving. A specific implementation lies in: acquiring ultrasonic data around a vehicle collected by an ultrasonic sensor on the vehicle, and image data around the vehicle collected by an image collection apparatus; determining a first spatial parking place around the vehicle according to the ultrasonic data, and determining a second spatial parking place around the vehicle according to the image data; fusing the first spatial parking place and the second spatial parking place that are located at an identical position to determine a spatial parking place at that position; and checking the availability of the detected spatial parking place, and determining available spatial parking places of the vehicle.

Spatial parking place detection method and device, storage medium, and program product

Disclosed is a text classification method and a text classification device. The text classification method includes: receiving text data (S), the text data comprising one or more text semantic units; replacing the text semantic unit with a corresponding text keyword (S), based on a correspondence between text semantic elements and text keywords; extracting, with a semantic model, a semantic feature of the text keyword (S); and classifying, with a classification model, the text keyword at least based on the semantic feature, as a classification result of the text data (S).

Text classification method and text classification device

A keyword reporting system for mobile applications is disclosed that generates keyword reports for a subject mobile application. The reports include a set of most relevant keywords for the subject mobile application with their associated ranking and result value. The ranking of a keyword is the subject mobile application's position in a search result for the keyword. A result value is determined for each keyword as well, where the result value is the number of mobile applications found in a search result for the keyword. Based on the ranking and result value of each keyword, a weight value is determined for each keyword. The weight value indicates the relevance of the keyword for the subject mobile application. A set of keywords are sorted and selected based on the weight value and a keyword report is generated that includes the set of keywords along with their rankings.

Keyword reporting for mobile applications

An erasure code-based partial write-in method and apparatus are provided. According to the method, a data node receives a first updating request carrying updating data and first version information from a client, wherein the first version information is information stored by the client and indicating a version of a target data block to be updated with the updating data, a data amount of the updating data is less than a data amount of one erasure code group which comprises m data blocks and k check data blocks, both m and k being natural numbers; the data node acquires second version information in response to the first updating request, wherein the second version information is information stored in the node and indicating the version of the target data block; the data node processes the updating data according to a matching result of the first version information and second version information.

Erasure code-based partial write-in

Growing community of inventors

Beijing, China

Zhiming Zhang