694 results about "Relevant feature" patented technology

The system and method for standoff detection of human carried explosives (HCE) is a portable system that automatically detects HCE up to a range of 200 meters and within seconds alerts an operator to HCE threats. The system has radar only, or both radar and video sensors, a multi-sensor processor, an operator console, handheld displays, and a wideband wireless communications link. The processor receives radar and video feeds and automatically tracks and detects all humans in the field of view. Track data continuously cues the narrow beam radar to a subject of interest, the radar repeatedly interrogating cued objects, producing a multi-polarity radar range profile for each interrogation event. Range profiles and associated features are automatically fused over time until sufficient evidence is accrued to support a threat/non-threat declaration hypothesis. Once a determination is made, the system alerts operators through a handheld display and mitigates the threat if desired.

Cell phones and other devices are used to complement enjoyment of television or other video media, through use of corresponding software applications (“widgets”). A great variety of related features and arrangements are particularly detailed.

A mobile device communicates with an in-vehicle system to provide a network-based calendar and related features for viewing and/or editing within a vehicle. The mobile device executes a specialized application that retrieves calendar data from one or more calendar sources in a native calendar format, and converts the calendar data to a customized vehicle format designed specifically for convenient transfer and viewing within the vehicle. The user may record spoken voice notes that can be processed to automatically create new calendar entries. An alert feature schedules visual and/or audio alerts to notify the user in advance of scheduled calendar events. When a scheduled calendar event time is reached, the in-vehicle system may automatically place a call to an event invitee or generating a route to an event destination.

A method and system for extracting opinions about a subject of interest from a text document in which each sentence is analyzed individually to identify the opinions. The most relevant feature terms related to the subject are extracted from the document based on their relevancy scores. Candidate feature terms are definite noun phrases at the beginning of the sentences. For each sentence that refers to the subject or a feature term, the invention determines whether the sentence includes an opinion polarity about the subject or the feature term. The opinion polarity is detected by identifying opinion terms in the sentence using an opinion dictionary or an opinion rule base, parsing the sentence with an English parser to identify grammatical components in the sentence and their relationships, and finding a matching entry in the dictionary or the rule base.

Systems and methods for data analysis and trend prediction. Multiple networks are combined for analysis to improve the accuracy of the evaluation by broadening the type of criteria considered. Relevant features are extracted from a dataset and at least one network is formed representing various relationships identified among the items contained in the dataset according to heuristics. Statistical analyses are applied to the relationships and the results output to a user via one or more reports to permit a user to evaluate each of the items in the dataset relative to each other. The trend of the relationships may be predicted based on the results of statistical analysis applied to the features over successive discrete time periods.

Described is an active learning system for fingerprinting an object identified in an image frame. The active learning system comprises a flow-based object segmentation module for segmenting a potential object candidate from a video sequence, a fixed-basis function decomposition module using Haar wavelets to extract a relevant feature set from the potential object candidate, a static classifier for initial classification of the potential object candidate, an incremental learning module for predicting a general class of the potential object candidate, an oriented localized filter module to extract features from the potential object candidate, and a learning-feature graph-fingerprinting module configured to receive the features and build a fingerprint of the object for tracking the object.

The present invention is embodied in a video flashlight method. This method creates virtual images of a scene using a dynamically updated three-dimensional model of the scene and at least one video sequence of images. An estimate of the camera pose is generated by comparing a present image to the three-dimensional model. Next, relevant features of the model are selected based on the estimated pose. The relevant features are then virtually projected onto the estimated pose and matched to features of the image. Matching errors are measured between the relevant features of the virtual projection and the features of the image. The estimated pose is then updated to reduce these matching errors. The model is also refined with updated information from the image. Meanwhile, a viewpoint for a virtual image is selected. The virtual image is then created by projecting the dynamically updated three-dimensional model onto the selected virtual viewpoint.

A method of automatically labeling of unlabeled text data can be practiced independent of human intervention, but that does not preclude manual intervention. The method can be used to extract relevant features of unlabeled text data for a keyword search. The method of automated labeling of unlabeled text data uses a document collection as a reference answer set. Members of the answer set are converted to vectors representing centroids of unknown groups of unlabeled text data. Unlabeled text data are clustered relative to the centroids by a nearest neighbor algorithm and the ID of the relevant answer is assigned to all documents in the cluster. At this point in the process, a supervised machine learning algorithm is trained on labeled data, and a classifier for assigning labels to new text data is output. Alternatively, a feature extraction algorithm may be run on classes generated by the step of clustering, and search features output which index the unlabeled text data.

The invention relates to a device and a method for identifying and evaluating an emergency hot topic. The device is provided with four component parts including a text acquisition unit, a text expression unit, a topic clustering unit and a topic evaluation unit. The device and the method are characterized in that only a title, introduction, relevant features and other information of a text of a news report are extracted and regarded as an effective sample set identified by the hot topic. Compared with the existing full text extraction, the experiment result shows that the result of the existing full text extraction is similar to the result of the partial text extraction, but the operation of the device and the method is greatly simplified. Compared with a classical model, an improved feature weight calculation model is good in execution efficiency and strong in adaptability of text representation capability. The model is used for evaluating the hot value of clustered topics, and the calculated hot topic accords with the expected effect and is adaptive to the features of the emergency news report. In a word, in the process of processing the text of the emergency news report, the device and the method have good performance in aspects of calculation complexity, result accuracy and timeliness.

Adaptive controller apparatus of a plant may be implemented. The controller may comprise an encoder block and a control block. The encoder may utilize basis function kernel expansion technique to encode an arbitrary combination of inputs into spike output. The controller may comprise spiking neuron network operable according to reinforcement learning process. The network may receive the encoder output via a plurality of plastic connections. The process may be configured to adaptively modify connection weights in order to maximize process performance, associated with a target outcome. The relevant features of the input may be identified and used for enabling the controlled plant to achieve the target outcome.

Improved methods and arrangements are provided for actively monitoring and/or controlling calls and related features in a communications system, such as, for example, computer telephony system. A graphical user interface (GUI) is provided to visually represent the telephony resources, features, services, and users prior to, during, and after a call. An operator can interface with the computer telephony system through the selective activation and/or manipulation of graphical and iconic representations of the call, the calling party, and called party as provided through the GUI.

A mobile device receives wireless network information from a MIIS (Media Independent Information Server), and builds its own database of existing networks with their associated characteristics, appropriately mapped with GPS (Global Positioning Satellite) coordinates or other appropriate form of geographical location identifying information. Consequently, the mobile device becomes “smart” over time through the learning process of first attempting to utilize its own developed database and, only if such database information falls short, making a remote query to a MIIS to get required information for session continuity and performing handovers. The mobile device may store the information received from the MIIS in its own local database together with a time-stamp. Each time the mobile device needs to get updated or new information, it sends a request to the MIIS along with the time-stamp appended to the request. In this way, the mobile device is sent only the information that it does not already have stored in its database.

A system and method for generating collections of media are provided. A media collage is constructed such that all its contained media, such as digital images, are selected and organized according to an associated characteristic. Sequential media collages can be generated by the same selection and organization approach.

One embodiment of the present invention sets forth an abstracted memory subsystem comprising abstracted memories, which each may be configured to present memory-related characteristics onto a memory system interface. The characteristics can be presented on the memory system interface via logic signals or protocol exchanges, and the characteristics may include any one or more of, an address space, a protocol, a memory type, a power management rule, a number of pipeline stages, a number of banks, a mapping to physical banks, a number of ranks, a timing characteristic, an address decoding option, a bus turnaround time parameter, an additional signal assertion, a sub-rank, a number of planes, or other memory-related characteristics. Some embodiments include an intelligent register device and/or, an intelligent buffer device. One advantage of the disclosed subsystem is that memory performance may be optimized regardless of the specific protocols used by the underlying memory hardware devices.

A method and apparatus are provided for identifying diffe rences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features. The invention provides pattern inspection that is faster and more accurate than any known prior art method by using a stored pattern that represents an ideal example of the object to be found and inspected, and that can be translated, rotated, and scaled to arbitrary precision much faster than digital image re-sampling, and without pixel grid quantization errors. Furthermore, since the invention does not use digital image re-sampling, there are no pixel quantization errors to cause false differences between the pattern and image that can limit inspection performance.

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.

A method for authenticating goods is disclosed. The method includes providing a product to be authenticated, identifying relevant features of the product, comparing the features to predetermined manufacturing specifications, determining whether the features substantially conform to the manufacturing specifications, and reporting results of the determination. If the product is deemed to be authentic, an indication of the authentication is provided on the product and a certificate of authentication is provided.

A gesture feature recognition system and method is provided. The gesture feature recognition system comprises an input/output component for recording pen strokes and for displaying them as strokes on a display device, a repository for storing gesture recognition data and a recognizer component for analyzing the strokes using the gesture recognition data. The method comprises the steps of receiving input data that represents the stroke sequence of handwritten characters and symbols, comparing the input data to a predefined symbol set stored in a repository, identifying characters and symbols present in the input data, and identifying the location of relevant features of the characters and symbols.

The present invention provides a method, and corresponding apparatus, for use of emoticons in IM applications by using sensory information captured by a device. Such information can include video, still image, and/or audio information. In one embodiment, based on a trigger to the system, multimedia input is captured, and relevant features are extracted from it. The extracted information is interpreted, and the interpreted information is mapped onto one or more specific pre-existing emoticons. These specific emoticons are then inserted into the IM communication via an IM API. In another aspect of the present invention, new emoticons are created based on the multimedia information captured. This can include generation of realistic emoticons based on the expressions on the user's face. Animated emoticons can also be created.

Medical guidelines are generated based on the history of the medical records for a large patient population, which includes creating a patient trajectory graph from the records including nodes and edges by automatically clustering patients based on relevant the patients' features included in their medical records. The nodes are scored based on the time patients remain with the nodes and desirability of any associated outcomes, resulting in edge scores derived from the scores of the edge-connected nodes. Top ranked interventions obtained from the edge scores that evaluates whether a transition from one node to another is better or worse are included in the generated medical guidelines. Additionally, effect sizes and confidence intervals of medical treatments for a pre-defined patient population are estimated by using the patients' medical records and dividing the population in an exposed and non-exposed group. Estimates are based on match choices between exposed and non-exposed patients.