1365results about "Biological models" patented technology

A text classifier and building the text classifier by determining appropriate parameters for the text classifier.

A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective sparse deep neural network is trained for each of the marginal search spaces, resulting in a series of trained sparse deep neural networks. Each of the trained sparse deep neural networks is trained by injecting sparsity into a deep neural network by removing filter weights of the deep neural network.

Systems and methods for publishing a first document object on a network wherein the first document object is not available or not easily accessible by users of the network. One method includes steps for allowing a first user of the network to create a link relationship between the first document object and a second document object that is available to other users of the network, for storing the link relationship in one or more link directories, and for making the first document object accessible to users of the network. The method may also include steps for providing users of the network access to the link relationship and for enabling users of the network to use the link relationship to retrieve the first document object. One method of providing access to a first document object to users of a network uses the link relationship to provide users of the network with information relating the first document object to the second document object accessed by users of the network.

The invention provides a method and system for sending relatively identical web pages, when requested by subsequent users, with substantial reduction of bandwidth. The server determines a “template web page” corresponding to the actual information on the web page, and having a set of insertion points, at which changed data can be inserted by the client. The server sends a JavaScript program corresponding to the template web page, which makes reference to the template web page and the changed data, along with sending the actual changed data itself. A first user requesting the web page receives the entire web page, while a second user requesting the web page (or the first user re-requesting the web page at a later time) receives the template information plus only the changed data. The server re-determines the template web page from time to time, such as when a ratio of changed data to template web page data exceeds a selected threshold. The server identifies the particular template web page to the client using a unique identifier (an “E-tag”) for the particular data sent in response to the request. Since the E-tag refers to the template, not the underlying web page, when the standard client makes its conditional request for the web page “if not changed”, the server responds that the web page is “not changed” even if it really is, but embeds the changed data in a cookie it sends to the client with the server response to the client request.

A proactive user interface, installed in (or otherwise control and/or be associated with) any type of computational device. The proactive user interface actively makes suggestions to the user, based upon prior experience with a particular user and/or various preprogrammed patterns from which the computational device could select, depending upon user behavior. These suggestions can be made by altering the appearance of at least a portion of the display, for example by changing a menu or a portion thereof; providing different menus for display; and/or altering touch screen functionality. The suggestions can also be made audibly.

Methods for operating robotic devices (i.e., “robots”) that employ adaptive behavior relative to neighboring robots and external (e.g., environmental) conditions. Each robot is capable of receiving, processing, and acting on one or more multi-device primitive commands that describe a task the robot will perform in response to other robots and the external conditions. The commands facilitate a distributed command and control structure, relieving a central apparatus or operator from the need to monitor the progress of each robot. This virtually eliminates the corresponding constraint on the maximum number of robots that can be deployed to perform a task (e.g., data collection, mapping, searching). By increasing the number of robots, the efficiency in completing the task is also increased.

The invention discloses a conservational robot system. A human face tracking and recognizing module tracks and recognizes a human face image captured by a camera; a human facial expression recognizing module recognizes the expression; and semantic meaning is recognized after voice signals pass through a voice picking module and a voice recognizing module. The robot system understands human demands according to facial expressions and/or voice and then forms conservation statement through a knowledge inquiry module and generates voice for communication with humans through a voice generating module. The conservational robot system has voice recognizing and understanding abilities and can understand commands of users. The invention can be applied to schools, families, hotels, companies, airports, bus stations, docks, meeting rooms and so on for education, chat, conservation, consultation, etc. In addition, the invention can also help users with propaganda and introduction, guest reception, business inquiry, secretary service, foreign language interpretation, etc.

Described herein are systems and methods for performing multi-stage detection and classification of cancer regions from digitized images of biopsy slides. Novel methods for processing the digitized images to improve feature extraction and structure identification are disclosed, including but not limited to the use of quaternions, logarithmic mappings of color channels, and application of wavelets to logarithmic color channel mappings. The extracted features are utilized in improved machine learning algorithms that are further optimized to analyze multiple color channels in multiple dimensions. The improved machine learning algorithms include techniques for accelerating the training of the algorithms, making their application to biopsy detection and classification practical for the first time. The performance of the described systems and methods are further improved by the disclosure of a novel multistage machine learning scheme, in which additional classifiers are utilized to choose among the classes proposed by other classifiers in close cases.

Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.

Provided are systems and methods for a cloud security system that learns patterns of user behavior and uses the patterns to detect anomalous behavior in a network. Techniques discussed herein include obtaining activity data from a service provider system. The activity data describes actions performed during use of a cloud service over a period of time. A pattern corresponding to a series of actions performed over a subset of time can be identified. The pattern can be added a model associated with the cloud service. The model represents usage of the cloud service by the one or more users. Additional activity data can be obtained from the service provider system. Using the model, a set of actions can be identified in the additional activity data that do not correspond to the model. The set of actions and an indicator that identifies the set of actions as anomalous can be output.

An application server, configured for dynamically generating a web page (e.g., HTML) document based on execution of XML documents, dynamically generates an HTML page having selected form elements based on a stored XML document that defines available HTML form elements and respective attributes, and based on user attributes retrieved by the application server from an open network database server (such as LDAP). The application server, in response to a request from a user, accesses an XML document configured for specifying attributes associated with the request; the XML document may specify as form elements menus that are available for generation based on qualified user attributes, or may specify HTML fields that can be generated for display on the HTML page based on the qualified user attributes. The application server also retrieves the user attributes, and dynamically generates the HTML page based on identifying the user attributes matching the qualified user attributes of the accessed XML document. Hence, HTML pages having form elements can be dynamically generated, providing personalized HTML pages without the necessity of modifying CGI scripts or stored HTML pages.

An apparatus and method for forwarding a web address to another web address is presented. A web forwarder receives a request destined to a first web address including at least a domain name. The web forwarder then determines a forwarding uniform resource locator (URL) that corresponds to the domain name and redirects the request to a second web address that corresponds to the forwarding URL.

Various examples are provided related to identification and management of compliance-related information associated with data breach events. In one example, a method includes receiving a first data file collection associated with a first data breach event; generating information associated with presence or absence of protected information elements of all or part of the first data file collection and incorporating data files including the protected information elements in a second data file collection; analyzing data files selected from the second data file collection; and incorporating the information associated with the analysis into machine learning information that may be used for subsequent analysis of data file collections.

A computer system linked by the internet to various remote waste water treatment facilities. The system receives real-time data from the facilities and analyzing the data to determine likely operational upsets and future effluent water quality. The computer system sends signals to a hierarchy of parties depending on the severity of predicted upsets problems and events. The computer also provides a probability distribution of such upsets and water quality and recommendations as how to adjust facility operating parameters to avoid or reduce the upsets to acceptable parameters and maintain effluent water quality parameters within preselected limits.

A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. MRAs cooperate, learn and interact with the environment. The system uses various AI technologies including genetic algorithms, genetic programming and evolving artificial neural networks to develop emergent dynamic behaviors. The collective behaviors of autonomous intelligent robotic agents are applied to numerous applications. The system uses hybrid control architectures. The system also develops dynamic coalitions of groups of autonomous MRAs for formation and reformation in order to perform complex tasks.

Disclosed systems, methods, and computer readable media can detect an association between semantic entities and generate semantic information between entities. For example, semantic entities and associated semantic collections present in knowledge bases can be identified. A time period can be determined and divided into time slices. For each time slice, word embeddings for the identified semantic entities can be generated; a first semantic association strength between a first semantic entity input and a second semantic entity input can be determined; and a second semantic association strength between the first semantic entity input and semantic entities associated with a semantic collection that is associated with the second semantic entity can be determined. An output can be provided based on the first and second semantic association strengths.

A hierarchically structured electronic document includes a parent node, a first and a second child of the parent node. The first child is configured as a named role child, the named role child having a first child component, the named role child specifying a relationship between the first child component and the parent node. The second child is configured as an index role child and has a plurality of second child components. The index role child specifies that all second child components are index children. The second child components collectively define and are configured to be rendered in the order in which the second child components appear under the second child. Collisions between named role and index children are avoided as the document includes a role (either a name role or an index role) between the parent and each child of the parent that is at the same hierarchical level.

The present invention discloses a novel method for identifying an individual who may be susceptible to develop a developmental disorder. In one particular example, an individual is identified who is genetically susceptible to becoming schizophrenic. In addition, the present invention discloses a novel method for identifying individuals who are genetically susceptible to have offspring with a developmental disorder. Methods of diagnosing, preventing and treating developmental disorders such as schizophrenia are also provided.

Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The invention is dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The invention can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.

A method and apparatus for positioning labels on a graphical display, which, in an illustrative embodiment, can include labels for aircraft icons in an air traffic control system's computer graphics display. The present invention advantageously identifies clusters of overlapping labels and objects, and calculates non-overlapping label positions on a cluster by cluster basis. In another aspect of the present invention, the movement of labels is accomplished in a smooth, incremental fashion so that cognitive distraction to the user of the graphical display terminal is kept to a minimum.

A method and system for presenting a document to a plurality of media device types optimized for the display medium. A document is generated in a markup language, and a plurality of style sheets are provided for formatting the document for a requesting device, with each style sheet accommodating a distinct display environment. The markup elements that reference two separate cascading style sheets (CSS) are configured differently such that they isolate the CSS reference for either high-resolution graphical display devices or small screen, low-resolution graphical display devices. A third style sheet is used as an intermediary to pass a CSS reference to small screen browsers while at the same time, shielding the CSS reference from certain high resolution browsers incapable of parsing the syntax of the reference. When a request for the document is received, the display environment of the requesting device is determined and a plurality of document presentation attributes are automatically transformed for the determined display environment. The formatted document is then delivered to the requesting device.

A behavior control system of a robot for learning a phoneme sequence includes a sound inputting device inputting a phoneme sequence, a sound signal learning unit operable to convert the phoneme sequence into a sound synthesis parameter and to learn or evaluate a relationship between a sound synthesis parameter of a phoneme sequence that is generated by the robot and a sound synthesis parameter used for sound imitation, and a sound synthesizer operable to generate a phoneme sequence based on the sound synthesis parameter obtained by the sound signal learning unit.

Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

An electronic spreadsheet is provided for automatically creating, expanding, and validating lists of cells. A list is created by receiving a user request for selecting a cell range, identifying a list range for the selected cell range, determining a header row for the list range, and generating a border for surrounding the list range. A list is expanded by determining that one or more cells are adjacent to the list and automatically expanding the list to include the new cells. A list is validated by determining a data type of data entered into the list and comparing the data type of the data entered into the list to a list data type. If, as a result of the comparison, the data type of the data entered into the list does not match the list data type, then the data type of the data entered into the list is invalid.

Systems and methods suitable for capable of autonomous crack detection in surfaces by analyzing video of the surface. The systems and methods include the capability to produce a video of the surfaces, the capability to analyze individual frames of the video to obtain surface texture feature data for areas of the surfaces depicted in each of the individual frames, the capability to analyze the surface texture feature data to detect surface texture features in the areas of the surfaces depicted in each of the individual frames, the capability of tracking the motion of the detected surface texture features in the individual frames to produce tracking data, and the capability of using the tracking data to filter non-crack surface texture features from the detected surface texture features in the individual frames.

The invention provides an unmanned aircraft route planning method based on combination of Voronoi diagram and ant group optimizing algorithm. Firstly a model is established in accordance with properties of various threaten sources, e. g. landform, radar, missile and anticraft gun, and the unmanned aircraft route cost includes threaten costs and fuel oil costs; then initial pheromone values are given to each edge of the Voronoi diagram, enabling an ant to begin the search from the Voronoi node nearest to the start point. The marching Voronoi edge is selected based ob the status shift rule, then the search at the Voronoi node nearest to the target point is finished; And when all the ants have finished their own candidate route selection, the pheromones at each edge of the Voronoi diagram are updated in accordance with the improving and updating rules, wherein the pheromones at edges with no ant passing by are evaporated, and the process is repeated until an optimal unmanned aircraft route is found out. The method is characterized by good real-time and high-speed performance, and the found route is closer to the actual optimal unmanned aircraft route.

An enterprise system and method for maintaining and transitioning humans to a human-like self-reliant entity is presented. Said system including at least one a biological, biomechatronic, and mechatronic entity with a biological or artificial neural network to at least one transform or maintain. Embodiments are provided to assist in the transition of human between a biological state to a bio-mechatronic and mechatronic entity. Said entity's biological, biomechatronic, and mechatronic subsystems are configured to communicate and interact with one another in order for said enterprise system to manage, configure, maintain, and sustain said entity throughout the entity's life-cycle. Subsystem embodiments and components supported by the enterprise system are presented.

A method and a system for customizing a Web page includes the capability of adding all types of objects describable in HTML such as text, an image, a program, a hyperlink, a table and an applet. A web page is customized by first requesting the page to be customized from a user's computer via a proxy server. The proxy server embeds a program for customization in the requested web page and the web page with the embedded program is then displayed by a browser of a computer. The program causes the display of a control panel, and the Web page may be customized according to a customizing operation initiated by a user via the control panel. The data comprising the customization is stored and may be subsequently accessed to customize the page when the Web page is again requested by that user.

An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic ("ELF") System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.

Disclosed herein are a method and system for training a big data machine to defend, retrieve log lines belonging to log line parameters of a system's data source and from incoming data traffic, compute features from the log lines, apply an adaptive rules model with identified threat labels produce a features matrix, identify statistical outliers from execution of statistical outlier detection methods, and may generate an outlier scores matrix. Embodiments may combine a top scores model and a probability model to create a single top scores vector. The single top scores vector and the adaptive rules model may be displayed on a GUI for labeling of malicious or non-malicious scores. Labeled output may be transformed into a labeled features matrix to create a supervised learning module for detecting new threats in real time and reducing the time elapsed between threat detection of the enterprise or e-commerce system.