79 results about "Goal selection" patented technology

Systems and methods are disclosed for generating statistical models. Such systems and methods may utilize a database comprising data representing a plurality of variables. To generate a statistical model, a set of variables may be selected in accordance with a goal of the model. Using the database, the selected set of variables may then be applied to a plurality of statistical model types and the results from each statistical model type may be analyzed. Finally, at least one of statistical model may be identified based on the analysis of the results.

A method, system and computer program product are disclosed for evaluating a customer network value of a set of customers for a given marketing campaign, said method comprising the steps of storing for each customer static information, collecting for each customer, historical and time cumulative network behavior data, building a customer network map from network behavior data said map describing network relation between nodes, one node representing one customer, computing the social network parameters for the nodes of the network map, selecting the most relevant social network parameters according to the objectives of the given marketing campaign, and, computing for each customer a Customer Network Value Index (NVI) by combining the most relevant social network parameters and static information. When a static information profile is defined for an extended customer population, applying data mining techniques on this population allows estimating a probabilistic NVI for each customer in the extended customer population for which no NVI has been computed.

A method of enabling assisted visual development of workflow for an application task. A workflow wizard provides a tasking page from which a user selects a desired one of a plurality of candidate tasks. The workflow wizard then provides a data selection page from which the user selects a desired set of data components from a plurality of candidate data components. A target selection page is then provided, from which the user can select a desired one of a plurality of candidate objects. Finally, an assignment page is provided, to enable the user to specify a detailed assignment relationship between the selected set of data components and fields of the selected target. The workflow wizard then auto-generates code that, when executed, will implement the selected task using the selected set of data components, the selected target and the specified assignment.

The invention discloses a method for performing target selection in a virtual reality space, which can flexibly and efficiently perform target selection in the virtual reality space. The method includes; receiving spatial position information and rotary posture information of a gesture input device, and mapping the gesture input device to an established three-dimensional virtual space according to the spatial position information and the rotary posture information of the gesture input device; acquiring a position coordinate origin in the three-dimensional virtual space of a virtual object of the gesture input device and a direction vector pointing to the right ahead of the virtual object; drawing a ray with the position coordinate origin as a starting point in the direction of the direction vector in the three-dimensional virtual space, wherein the ray serves as a prompt identification for target selection in the three-dimensional virtual space; and determining a three-dimensional virtual space image of a user view direction, and sending the three-dimensional virtual space image to a head-mounted display to be displayed. The invention also discloses a device and system for performing target selection in the virtual reality space.

A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.

The invention relates to a screenshot obtaining method and device. The screenshot obtaining method comprises the steps that a screenshot target selection command is received, so that a target window on which a screenshot needs to be obtained is determined; the scroll bar of the target window is controlled so that the scroll bar can move from top to bottom, screenshot processing is conducted multiple times when the scroll bar moves to the end position from the initial position, and a sub-image obtained each time screenshot processing is conducted is saved into a blank area; when it is detected that the sub-images with image overlap areas exist in all the sub-images in the blank area, the image overlap areas of the sub-images with the image overlap areas are placed in an overlapped mode, so that a complete image is formed through splicing. According to the screenshot obtaining method and device, a user just needs to select the window on which the screenshot needs to be obtained, the complete content corresponding to the window can be obtained conveniently through scrolling and screenshot capturing which are automatically conducted at the same time, and the screenshot can be obtained quite conveniently.

The optimization of an optical metrology model for use in measuring a wafer structure is evaluated. An optical metrology model having metrology model variables, which includes profile model parameters of a profile model, is developed. One or more goals for metrology model optimization are selected. One or more profile model parameters to be used in evaluating the one or more selected goals are selected. One or more metrology model variables to be set to fixed values are selected. One or more selected metrology model variables are set to fixed values. One or more termination criteria for the one or more selected goals are set. The optical metrology model is optimized using the fixed values for the one or more selected metrology model variables. Measurements for the one or more selected profile model parameters are obtained using the optimized optical metrology model. A determination is then made as to whether the one or more termination criteria are met by the obtained measurements.

The invention discloses a virtual object control method and device, a storage medium and electronic equipment. The method comprises the following steps of: rendering a skill control on a graphical user interface; when a first touch event for the skill control is detected, rendering a target selection control in the vicinity of the skill control; detecting a second touch event for the target selection control, determining the current target selection condition according to an option sub-control currently selected by the second touch event, and selecting a second role object which accords with the current target selection condition in real time from predetermined distance range to serve as an action target of a skill operation; and when the fact that the second touch event is finished is detected, controlling a first role object to carry out the skill operation on the current action target. According to the method and device, the storage medium and the electronic equipment, the autonomy and instantaneity of users for selecting objectives are improved under the premise of not increasing the operation load of the users.

A road condition video camera demarcating method under the traffic monitoring condition includes the following demarcating steps: (1) visual model describing and relevant coordinate system creating: according to the requirement of the monitoring system performance, a classical Tsai transmission projection model is used for reference, and according to the feature of the road condition imaging, a new visual model is presented after conducting corresponding amendment on the classical Tsai transmission projection model, and three kinds of coordinates are established. (2) demarcating the main point of a video camera and the extension factor: the image monitoring light stream is used as the demarcating basic element; by the extension movement of the video camera, a reference frame forecast image and the difference value of the light stream field in a real time frame sampling image are used as the restriction, a constraint equation is established by adopting the least square method, the main point coordinate of the video camera and the actual magnification coefficient of the video camera can be distinguished by the powell direction family method. (3) Demarcated object selecting and parameter linearity evaluating. (4) Accuracy making on the internal and external parameters of the video camera: according to all the angle points of the monitored image and the corresponding world coordinate point, the Levenberg-Marguardt optimization algorithm is adopted to make accuracy on the video camera model parameter, and then the video camera demarcating is finished.

The present invention provides for a user interface of changeable images of selected goals from a plurality of goals, each image changing in appearance based upon preferences selected for each selected goal. First, a plurality of images are displayed in a frame. Each of the images represent a goal of a user. In operation, the user is permitted to select from the images in the frame. Further, a user is permitted to adjust preferences related to the goal represented by the selected image in the frame. The appearance of one or more of images in the frame is then altered based on the adjusted preferences of the goal represented by the selected image.

A target selection system (21) for a vehicle (12) includes an object detection sensor (17) that generates object detection signals associated with multiple detected objects. A feature target selection module (30) selects secondary targets from the objects and associates the secondary targets with respective features (23). A primary target selection module (31) selects primary targets from the secondary targets and associates each of the primary targets with a single respective concentrated feature.

An apparatus is provided for managing productivity associated with retrieval of items in real-time according to various embodiments. The apparatus includes a memory and a processor configured to generate a first time for traveling to one or more locations in which the items are located. The processor is also configured to generate a second time for retrieving the items from the locations and a third time for accessing one or more access points corresponding to each location. The third time is based on a respective height of each access point. The processor is also configured to add the first, second, and third times to generate a fourth time representing a target pick time for retrieving the items. Corresponding computer program products and methods are also provided.

Methods and apparatuses are described for a communication system. The communication system comprises an initiator core supporting a first burst capability as well as a target core supporting a second burst capability. The supported burst features of the second burst capability differ from the supported burst features of the first burst capability. The communication system also comprises an agent coupled to the initiator core, which comprises logic to compute target-dependent burst support information across multiple groups of potential targets at the same time. The logic then selects the correct target-dependent information based upon a resulting address decode for the target selection.

Systems, methods, and apparatus for neuro-robotic goal selection are disclosed. An example method to control a robot is described, including presenting a target object to a user, the target object corresponding to a goal to be effectuated by a robot, emphasizing a portion of the target object, identifying a first brain signal corresponding to a first mental response of the user to the emphasized portion, determining whether the first mental response corresponds to a selection of the emphasized portion by the user, and effectuating the robot with respect to the goal based on the emphasized portion.

There are connected a plurality of hosts 1 to L, a plurality of targets 1 to M and a plurality of initiators 1 to N, through a network. Each target has a managing unit which decides by itself the target search information broadcast from the initiator onto the network. In the case it is suited for data storage in the own target, data storage response information containing accepted priority information is broadcast onto the network. The target largest in priority value is notified of target selection from the initiator, thus effecting data storage.

The invention discloses a method for selecting multiple moving targets based on an induced type brain-computer interface. The method comprises the following steps: 1) adopting a camera for collecting practical environmental information and confirming the quantity and coordinates of the targets in a frame; 2) overlapping and displaying visual stimulation in an induced BCI dynamic normal form on the moving targets; and 3) utilizing a computer collecting device to detect an EEG signal of a user while the user focuses on the targets, judging the targets which are expected to be selected by the user and marking the targets, thereby completing the target selection. According to the invention, the induced BCI dynamic normal form is combined with a dynamic scene, so that the user can observe and select the moving targets at the first visual angle, the friendliness of the operation for selecting multiple moving targets can be promoted and the method has the advantages of high universality, simple principle and convenience in operation.

A method includes receiving a user input (e.g., a one-touch user input), performing segmentation to generate multiple candidate regions of interest (ROIs) in response to the user input, and performing ROI fusion to generate a final ROI (e.g., for a computer vision application). In some cases, the segmentation may include motion-based segmentation, color-based segmentation, or a combination thereof. Further, in some cases, the ROI fusion may include intraframe (or spatial) ROI fusion, temporal ROI fusion, or a combination thereof.

An apparatus for quantifying the security of an open-source software package and an apparatus and method for optimizing an open-source software package. The apparatus for optimizing an open-source software package includes a deletion target selection unit for creating a deletion target package list, which is a list of packages to be deleted from the total list of packages installed in a client, a package test unit for controlling the states of one or more virtual machines included in the client and receiving the result of performing a test case to which the deletion target package list is applied from the client, and a package optimization unit for creating an optimized package list based on the result of performing the test case.