Emc Corporation

Advanced New Technologies Co., Ltd.

Alibaba Group Holding Limited

Emc IP Holding Company LLC

Jidong Chen

Peng Li

Wei Xu

Hang Guo

David Stephen Reiner

Yael Villa

Mian Huang

Wenbo Yang

Le He

Yukun Tuo

Stephen J Todd

Tao Chen

Jun Li

Yu Cao

Sudhir Vijendra

Alon Kaufman

Derek Lin

Xiaoyan Guo

Qiyan Chen

Karthikeyan Srinivasan

Ivan Valentinovich Gumenyuk

Pavel B Egorov

Inga Petryaevskaya

Padraig D Murphy

Shareef Muhammad Mahmoud Bassiouny

Calvin Donahue Smith

Liang Li

A method, a device, and a storage medium for certificate identification. The method may comprise: instructing a user to move a certificate according to a designated movement method within an imaging region of a camera of a terminal device; imaging the certificate in the imaging region to obtain a movement video of the certificate; extracting at least one key frame in the movement video; analyzing an image content of the at least one key frame according to a certificate identification method that corresponds to the designated movement method, to generate an analysis result of the image content; and determining, based on the analysis result, whether the certificate is a forged certificate.

Method and apparatus for certificate identification

This specification discloses a user identity verification method, apparatus, and system, relating to the field of information technology. The method comprises: receiving a facial image and one or more eye-print pair images corresponding to an identity verification object from a client, wherein a number of the one or more eye-print pair images corresponds to a number of eye-print collection steps, comparing the facial image to a preset facial image and comparing the one or more eye-print pair images to preset eye-print templates, and sending successful identity verification information to a client when comparison results for the facial image and the one or more eye-print pair images meet preset conditions.

User identity verification method, apparatus and system

A method for identifying a certification includes: determining a target verification mode for verifying a certificate, wherein the target verification mode comprises one or more pieces of movement information of movements performed by a designated body part with respect to the certificate, and the one or more pieces of movement information include information of holding the certificate in one or more designated holding postures; obtaining one or more images of the certificate; verifying whether a first image of the one or more images of the certificate comprises the designated body part; in response to that the first image comprises the designated body part, analyzing, whether the first image comprises the one or more pieces of movement information to generate an analysis result; and determining, based on the analysis result, whether the certificate is a forged certificate.

A method for resource transfer, includes: acquiring a front face image, and a side face image from at least one side, of a target user; performing a liveness detection and an identity recognition on the target user based on the front face image and the side face image; and executing, if a liveness detection result is that the target user is a live user and an identity recognition result is that the target user is an authorized user of a target electronic account, resource transfer on the target electronic account.

Method, apparatus, and system for resource transfer

Implementations of the present specification disclose image recognition methods, apparatuses, and devices, and authentication methods, apparatuses, and devices. A solution includes the following: obtaining a target image of a target object, where before the target image is obtained, a recognition identifier is mapped onto the target object, and where the recognition identifier is used to form a corresponding recognition feature in the target image; and determining an attribute of the target object corresponding to the target image based on a predetermined mapping relationship and the recognition feature, where the mapping relationship includes a corresponding relationship between the recognition feature and the attribute of the target object.

Image recognition and authentication

Liveness detection and an identity authentication is included in the disclosure. A user's biological characteristic information is collected and displayed at an initial position on a screen of a computing device. A target position is determined using the initial position, and the target position is displayed on the screen. The user is prompted to move the user's biological characteristic information to cause the displayed biological characteristic to move from the initial position on the screen to the target position on the screen. The user's movement is detected and the display position of the displayed biological characteristic information is determined using the detected user's movement; a judgment is made whether the user is a living being using a relationship between the determined display position and the target position. The biological characteristic information of a living being can be verified, e.g., when the user logs in, thereby improving security.

Liveness detection method and device, and identity authentication method and device

The present invention relates to a method and system for partitioning a database. The method for partitioning a database comprises: grouping a plurality of entries in the database into one or more entry groups, so that entries in the same entry group are always accessed together by one or more transactions; and dividing the one or more entry groups into a set number of partitions, so that a total number of transactions that access across more than one partition is minimized. By means of the present invention, it is possible to obtain an efficient, flexible and convenient method for partitioning a database, thereby greatly improving the system performance.

Method and system for partitioning database

A processing device of an information processing system is configured to detect bursts of activity associated with a particular user, to map the bursts to tasks performed by the user, to generate a user model based on the mapping of bursts to tasks, and to provide personalized query processing to the user based on the user model. The user model may comprise a Hidden Markov Model. In one embodiment, a query is received from the user in a current time window, and a model parameter is obtained. Based on the model parameter, a most likely task for the user in the current time window is identified, and based on the query, the most likely task, and user classification, search results are ranked for presentation to the user. The processing device may be configured to communicate the user model to a cloud service provider, and to receive from the cloud service provider the ranked search results determined based on the user model.

Task driven context-aware search

Visual data mining techniques for increasing data classification accuracy are disclosed. For example, a method comprises the following steps. At least two decision tree data structures from a high-dimensional data set are generated. A composite data structure comprising the at least two decision tree data structures is generated. The composite data structure is generated based on a correlation computed between the at least two decision tree data structures. The composite data structure is visualized on a display. Modification of the composite data structure is enabled via interaction with the visualization of the composite data structure on the display.

Interactive visual data mining for increasing classification accuracy

An improved technique trains a fraud detection system to use mouse movement data as part of a user profile. Along these lines, a training apparatus receives sets of mouse movement datasets generated by a legitimate user and/or a fraudulent user. The training apparatus assigns each mouse movement dataset to a cluster according to one of several combinations of representations, distance metrics, and cluster metrics. By correlating the clusters with the origins of the mouse movement datasets (legitimate or fraudulent user), the training apparatus constructs a robust framework for detecting fraud at least partially based on mouse movement data.

Click stream analysis for fraud detection

An embodiment of the current invention is a computer implemented method and computer product for searching resources of a computer system comprising, enabling a user to input a keyword, wherein the keyword is used to generate a list of search results corresponding to resources, enabling the user to select one or more filters of a plurality of filters, wherein selection of a filter filters the list of search results of the resources and displaying the resources and associations between the filtered list of the resources based on the keyword and selection of filters; wherein the associations represent a user's interactions with the resources of the computer system. An alternative embodiment of the current invention is a computer implemented method and computer product for creating searchable associations of a user's interaction with a computer system's resources comprising recording the user's interactions with the computer system's resources, and creating associations between the resources based on the user's interactions.

Associative memory based desktop search technology

Enhanced querying of unstructured data in enterprise knowledge base for improved collaboration and management of content is obtained by implementing the knowledge base using Semantic Wiki technology to afford semantic querying capability, and by annotating data in the knowledge base with reasoning supports that infer relations between different data using special properties that define transitive, symmetric and inverse of relations between data.

Growing community of inventors

Beijing, China

Jidong Chen