171 results about "Statistical correlation" patented technology

Automated video digest system and method. The system decomposes video and audio portions of video media into low-level descriptors, producing a large number of such descriptors for each video image and scene. These descriptors are optimized to be both compatible with rapid automated descriptor creation, and also to have some positive or negative statistical correlation with the viewing preferences of typical human viewers. By comparing the number of descriptors correlated with positive human viewing preferences, versus the number of descriptors correlated with negative human viewing preferences, the automated system may analyze an unknown video program and make educated guesses as to which portions of the program are likely to be most interesting to the viewer on playback. Less interesting portions may be skipped or fast-forwarded though. The method may also be optimized to individual viewers. Such methods are useful for controlling the playback of digital video recorders and other systems.

Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.

A system and a priori method of discovering dependencies between relational database column pairs and application of discoveries to query optimization is provided. For each candidate column pair remaining after simultaneously generating column pairs, pruning pairs not satisfying specified heuristic constraints, and eliminating pairs with trivial instances of correlation, a random sample of data values is collected. A candidate column pair is tested for the existence of a soft functional dependency (FD), and if a dependency is not found, statistically tested for correlation using a robust chi-squared statistic. Column pairs for which either a soft FD or a statistical correlation exists are prioritized for recommendation to a query optimizer, based on any of: strength of dependency, degree of correlation, or adjustment factor; statistics for recommended columns pairs are tracked to improve selectivity estimates. Additionally, a dependency graph representing correlations and dependencies as edges and column pairs as nodes is provided.

The timing and placement of advertising on TV, radio or other broadcast media can be automatically verified or audited by monitoring and recording channels of TV, radio or broadcast media by storing and tagging discrete portions of segments of the broadcast signals in a database. A controller, or “dispatcher” server, dispatches the files to an analysis server for performing various mathematical comparisons and statistical correlations on the audio and video signals for positively identifying one or more advertisements of interest. A report is generated, providing particulars about the airing times of the advertisement of interest and whether its content exactly matches the content of a reference advertisement used as the basis for the mathematical comparisons and correlations.

Methods and systems for automatically detecting gross patient motion using a diagnostic medical imaging system are provided. The method provides for acquiring a plurality of frames of image data, positioning a first time window and a second time window over overlapping frames of image data, calculating a statistical correlation value based on the first time window and the second time window, and comparing a first derivative of the statistical correlation value to a threshold value to determine patient motion.

A campaign offers and rewards system has an offer serving engine coupled to one or more network servers. A receipt intelligence engine includes a processor and receipt processing. The receipt processing extracts information from a receipt, including information about items purchased based on a receipt from at least one of a shopping trip and an electronic receipt from an online or offline transaction. An output outputs information. An analytics engine is coupled to the receipt intelligence engine. The analytics engine includes a predictive model function using information from the receipt processing. The analytics engine determines values representing statistical correlations from the receipt processing.

A navigation system for mobile use includes street map data used for creating a dynamic map display tracking movement of the vehicle and includes crime data used to provide an overlay on the dynamic display indicating a risk of crime to the vehicle's occupants from the surrounding area. Crime data may be harvested from police websites and/or generated using statistical correlation techniques from other proxy information. Presented crime data indicate crime risk, type of crime, crime date or time of occurrence, and linkage to environmental conditions such as type of weather, temperature, and moonlight.

At least one pair of hodoscope radiation monitors arranged to simultaneously monitor a target region that contains a source of radiation. The hodoscopes are preferably arranged so that their fields of view of the region are approximately orthogonal. The fields of view of the two detectors will overlap in a region that contains the source of radiation. Each of the two detectors will record radiation from the overlap region and, in addition, will record background radiation emanating from other regions within detector fields of view. The present invention provides statistical correlation techniques to estimate the extent to which unusually high radiation originates in the overlap region, irrespective of background in the field-of-view of individual hodoscope detectors. The source of radiation might be spontaneous, might be from an activation process, or might be scattered in from an external beam.

A method for analyzing data, the data characterized by a set of scalars and a set of vectors, to analyze the data into components related by statistical correlations. In preferred embodiments, the invention includes steps or devices for, receiving a set of a scalars and a set of vectors as the inputs; calculating a correlation direction vector associated with the scalar and vector inputs; calculating the inner products of the input vectors with the correlation direction vector; multiplying the inner products onto the correlation direction vector to form a set of scaled correlation direction vectors; and subtracting the scaled correlation direction vectors from the input vectors to find the projections of the input vectors orthogonal to the correlation direction vector. The outputs are the set of scalar inner products and the set of vectors orthogonal to the correlation vector. The steps or devices can be repeated in cascade to form a multi-stage analysis of the data. The invention can also be used with a steering vector preceding the adaptive analysis stages.

A method for measuring satisfaction within a service environment including the steps of modeling contractual customer service relationships using a hierarchical composition model with discrete abstract elements, creating and distributing customer perception surveys having questions, wherein the questions are dynamically generated from a computer database based on events within the service environment and element weightings within a hierarchical composition model, collecting and analyzing the customer perception surveys, calculating aggregate measures of customer perception that have statistical reliability, correlating the measures of customer perception to create at least one statistical causality between customer perception and business performance and adjusting the element weights using calculated customer perception measures and statistical correlation measures to refine reliability of future analysis and calculation results.

Events are received from a plurality of security devices (which may be similar or different devices, e.g., intrusion detection systems configured to monitor network traffic) and divided into a plurality of event flows. Comparing the event flows (e.g., using statistical correlation methods) then generates one or more meta-events. The received events may be divided into different event flows on the basis of the security device which generated the events. The meta-events may be generated by evaluating a perimeter defense device through comparison of the different event flows. In some cases, various ones of the security devices may be inside or outside a perimeter defined by the perimeter defense device.

System and method for identifying commodities for recommendation to a target user based on side information that is pertinent to a specific target user and extrinsic to the commodities. Training data is exploited to derive a statistical correlation between users' side information of a plurality of attributes with a plurality of commodities. The training data includes side information of a set of training users and a plurality of commodities towards which the training users have manifested preference. Based on the derived statistical correlation and the target user's side information, a probability distribution representing the target user's tendency to purchase the plurality of commodities can be determined. As a result, a list of commodities can be automatically selected from the plurality of commodities and recommended to the target user.

A method for determining an “effective” thermal coefficient of a machine comprises the steps of installing one or more temperature sensors (110) at various locations on the machine, positioning a first machine member (60) at a “known” reference location, relative to a second machine member (42), installing a linear position measuring device (120) to detect changes in position of the first machine member (60) relative to the second machine member (42) along a first axis of movement, periodically acquiring readings from each of the temperature sensors (110) and from the linear position measuring device (120) during a test cycle and compiling the temperature and linear position data into a table. A statistical correlation analysis is performed to determine which of the temperature sensors (110) experiencing changes in temperature are most linearly related to changes in the linear position of the first machine member (60) relative to the second machine member (42) and an “effective” coefficient of thermal expansion is thereafter determined as the rate of change of position, i.e. length, relative to change in temperature. The present method includes using the machine's “effective” thermal coefficient the calibrate the motion of the machine to compensate for the thermal characteristics thereof.

A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price. The methods can be applied to a broad range of text, including articles in online newspapers such as the Wall Street Journal, financial newsletters, radio &TV transcripts and annual reports. In an enhanced embodiment of the system statistical patterns in Internet usage data and Internet data such as newly released textual information on Web pages are further leveraged.

A method for performing packet loss concealment of lost packets in Voice over IP (Internet Protocol) speech transmission. Statistical n-gram models are initially created with use of a training speech corpus, and then, packets lost during transmission are advantageously replaced based on these models. In particular, the existence of statistical patterns in successive voice over IP (VoIP) packets is advantageously exploited by first using conventional vector quantization (VQ) techniques to quantize the parameter data for each packet with use of a corresponding VQ index, and then determining statistical correlations between consecutive sequences of such VQ indices representative of the corresponding sequences of n packets. The statistic n-gram predictive models so created are then used to predict parameter data for use in representing lost data packets.

Described systems and mechanisms relate to techniques for improving usability, speed, and accuracy of text input to touch-typable devices. A touch-typable device can include a movable keymask comprising of a plurality of cells mapped with one or more keys of text input keypad of the touch-typable device, wherein each of the plurality of cells of the movable keymask superimposes over textual input choices enabling the user to select the desired textual input from the plurality of cells of the movable keymask using the text input keypad of the touch-typable device. The textual input choices can be chosen after every user input from a set of likely input choices, wherein the likely input choices can be selected based on previous textual input sequence, phoneme and syllabary patterns, statistical correlation between the previous textual input sequence and set of textual input choices, dictionary lookups, and usage patterns of said user.

A method for image registration includes receiving first and second image information. A library of joint intensity distributions, spanning a space of non-parametric statistical priors, derived from earlier perfect matching results is received. From among this library, a preferred learned joint intensity distribution is automatically selected during the registration process. As a result, a displacement field is generated both (i) maximizing the statistical dependency between an intensity distribution of the first and second image information and (ii) minimizing the statistical distance to the learned joint intensity distributions. The generated displacement field is used to transform an image structure from the first image information to an image structure of the second image information.