Abstract: Systems and methods of searching for related data sets are provided. Multivariate data sets can be input as queries into a data set search engine. According to one embodiment, the input data set is automatically reduced to a set of best fit data models of minimum complexity that represent the data set. The data model is then compared to other data models to not only identify similarity between the models, but also to identify the particulars of why the data models are related. Similar data model results can be analyzed to determine the quality of each returned data model based on an information scores. These results can be displayed graphically as a topographical map of nodes and edge. Each node can represent a data model and each edge can reflect the similarity between the nodes.

Abstract: Bodies of media may be summarized in various ways depending on numerous factors, thus resulting in summaries that are tailored to particular desires of consumers. An instruction may be received to provide a summary of at least a portion of the body of media. Software stored in memory may then be executed by a processor to determine one or more factors for providing the summary. The summary may be selected, based on the one or more factors, from a plurality of available summaries stored in memory. The plurality of available summaries corresponds to the at least a portion of the body of media. Finally, the selected summary may be provided to a consumer via an output device.

Abstract: Methods and apparatus for processing data using sequential dependencies are disclosed herein. An example method includes modifying a first number of values in a sequence of a data set to generate a modified sequence such that each difference between each successive pair of values is within a threshold. A satisfiability metric is determined for the modified sequence based on a relationship between a number of modifications to the values in the sequence and a size of the sequence.

Abstract: A system and method for determining at least one new treatment plan for at least one new patient, comprising: providing at least one representation of the at least one new patient's at least one organ at risk relative to at least one target; searching for at least one prior treatment plan for at least one prior patient with at least one similar representation; and reviewing the at least one prior treatment plan for the at least one prior patient in order to determine whether the at least one new treatment plan can be improved based on information in the at least one prior treatment plan.

Abstract: A degree of nonlinearity based on intra-wave frequency modulation is proposed here with the value substantially between 0 and 1. The degree of nonlinearity is used for obtaining the state rather than a system. The data required for defining the degree of nonlinearity is the state of the motion or the observed data. For a complicate state with more than one IMF containing prominent energy density, the degree of nonlinearity has also considered the amplitude variations. The combination of the intra-wave frequency modulation and the amplitude variation gives the Combined Degree of nonlinearity. With the definitions of degree of nonlinearity, the nonlinearity characteristic can be quantified, and the discussion of nonlinear effects could be conducted more precisely.

Abstract: Methods and apparatuses for determining the identity of the user detect a current user's electronic device activity pattern; compare the detected activity pattern against a plurality of user action identification profiles, wherein each user action identification profile is associated with a particular user; and use the comparing to identify the current user as being the particular user.

Abstract: A movement determination apparatus includes an acquiring unit that acquires a plurality of position information of an object at desired periods, a classifying unit that classifies the plurality of position information acquired by the acquiring unit into a plurality of measurement segments, an estimating unit that estimates existence regions of the object in the plurality of measurement segments, on a basis of the classified plurality of position information, and a determining unit that determines movement of the object position by comparing the existence regions.

Abstract: A system and method for determining at least one new treatment plan for at least one new patient, comprising: providing at least one representation of the at least one new patient's at least one organ at risk relative to at least one target; searching for at least one prior treatment plan for at least one prior patient with at least one similar representation; and reviewing the at least one prior treatment plan for the at least one prior patient in order to determine whether the at least one new treatment plan can be improved based on information in the at least one prior treatment plan.

Abstract: Ranking and selecting entities based on calculated reputation or influence scores is provided. In some embodiments, a method includes determining whether a first entity is a subject or an object; determining whether a second entity is a subject or an object; and generating a graph, in which a subset of the graph is a subject graph of subject nodes that includes at least one or more subjects (e.g., subject entities) linked to one or more other subjects, and in which the graph includes one or more objects (e.g., object entities) each linked to one or more subjects in the subject graph. In some embodiments, the graph includes directed and undirected links. In some embodiments, the graph includes one or more objects linked to one or more objects.

Abstract: A string analysis tool for calculating a similarity metric between a source string and a plurality of target strings. The string analysis tool may include optimizations that may reduce the number of calculations to be carried out when calculating the similarity metric for large volumes of data. In this regard, the string analysis tool may represent strings as features. As such, analysis may be performed relative to features (e.g., of either the source string or plurality of target strings) such that features from the strings may be eliminated from consideration when identifying target strings for which a similarity metric is to be calculated. The elimination of features may be based on a minimum similarity metric threshold, wherein features that are incapable of contributing to a similarity metric above the minimum similarity metric threshold are eliminated from consideration.

Abstract: The present invention involves a system for processing and acting on information comprising a processor and associated storage with a plurality of knowledge units. Each knowledge unit includes at least one item of data or a sequence of further knowledge units. An observation software module obtains experiential data from external events and stores experiential data in a Universe of Information Units. An operator software module acts on information units in a plurality of operations including at least one of: conditional association, causal relationship, assignment of a value, editing operation, self-observation, shock initiation, shock resistance, threshold determination, and generalization. A dynamic engine software module coordinates interaction of the observation and operator software modules and modifies contents of the knowledge units. An energy software module directs activation of at least one knowledge unit. A goal software module applies rules for determining actions of the dynamic engine module.

Abstract: The specification describes data processes for analyzing large data steams for target anomalies. “Sequential dependencies” (SDs) are chosen for ordered data and present a framework for discovering which subsets of the data obey a given sequential dependency. Given an interval G, an SD on attributes X and Y, written as X?G Y, denotes that the distance between the Y-values of any two consecutive records, when sorted on X, are within G. SDs may be extended to Conditional Sequential Dependencies (CSDs), consisting of an underlying SD plus a representation of the subsets of the data that satisfy the SD. The conditional approximate sequential dependencies may be expressed as pattern tableaux, i.e., compact representations of the subsets of the data that satisfy the underlying dependency.

Abstract: There is provided an information processing apparatus including: a sensor data generator sensing a user behavior and generating sensor data corresponding to the user behavior; a behavior recognizing unit performing a predetermined threshold value process on the sensor data to recognize the behavior exhibited by the user and generating behavior information that is information indicating the behavior exhibited by the user; a behavior manager managing the behavior information generated by the behavior recognizing unit in correspondence with the time point at which the behavior corresponding to the behavior information is exhibited; and a behavior information post-processing unit performing a predetermined post-process on the behavior information managed by the behavior manager, wherein the behavior recognizing unit further includes a plurality of behavior determination units specified to specific behaviors exhibited by the user and generates the behavior information based on the determination results of the plur

Abstract: Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate an analytical model, the analytical model comprising a plurality of states, a plurality of transitions between states, and data corresponding to a probability that an average answering user will respond to a request based on at least one of a state of the average answering user and a transition between states, receiving a request, identifying a plurality of answering users, processing the analytical model to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.

Abstract: A method for judging a risk of cancer recurrence comprising: acquiring an activity value and expression level of a first cyclin dependent kinase (CDK) of a cell contained in tissues extracted from cancer patients, an activity value and expression level of a second CDK, and a number of Ki67-expressing cells or an expression level of Ki67; and judging a risk of cancer recurrence based on the acquired activity value and expression level of the first CDK, the activity value and expression level of the second CDK, and a percentage of Ki67-expressing cells or the expression level of Ki67. A computer program product and a computer system are also disclosed.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for performing one or more actions utilizing a uniform resource locator. These mechanisms and methods for performing one or more actions utilizing a uniform resource locator can enable improved overall URL usage, more efficient search engine URL results, improved URL comprehension by users, etc.

Abstract: The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.

Abstract: There is provided an information processing apparatus including: a sensor data generator sensing a user behavior and generating sensor data corresponding to the user behavior; a behavior recognizing unit performing a predetermined threshold value process on the sensor data to recognize the behavior exhibited by the user and generating behavior information that is information indicating the behavior exhibited by the user; a behavior manager managing the behavior information generated by the behavior recognizing unit in correspondence with the time point at which the behavior corresponding to the behavior information is exhibited; and a behavior information post-processing unit performing a predetermined post-process on the behavior information managed by the behavior manager, wherein the behavior recognizing unit further includes a plurality of behavior determination units specified to specific behaviors exhibited by the user and generates the behavior information based on the determination results of the plur

Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

Abstract: A computer-implemented method for accessing content items in a content store are described. In one embodiment, the computer-implemented method includes maintaining a text index of content items in a content store to enable a keyword search on the content items, receiving a query having a keyword and generating a hit list from the text index using the keyword, and extracting frequent phrases from text within content items of the hit list. The computer-implemented method also includes assigning a relative relevance to the frequent phrases and grouping content items into topics based on presence of relevant phrases within the content items of the hit list. The hit list includes one or more content items of the content store. The frequent phrases having a relatively high relevance are relevant phrases.

Abstract: A service, which in one embodiment is a fashion social network, applies pre-defined criteria to items proposed for selection by a user, in order to determine if the proposed items are compatible with descriptive attributes and/or current possessions of the user.

Abstract: A method and apparatus for continuously improving the performance of semantic classifiers in the scope of spoken dialog systems are disclosed. Rule-based or statistical classifiers are replaced with better performing rule-based or statistical classifiers and/or certain parameters of existing classifiers are modified. The replacement classifiers or new parameters are trained and tested on a collection of transcriptions and annotations of utterances which are generated manually or in a partially automated fashion. Automated quality assurance leads to more accurate training and testing data, higher classification performance, and feedback into the design of the spoken dialog system by suggesting changes to improve system behavior.

Abstract: A system, method, and computer program product are provided for updating an algorithm. In use, feedback data associated with an identification of an object is received. Additionally, one or more algorithms are updated, based on the feedback data. Further, the updated algorithms are distributed.

Abstract: Embodiments of the invention provide systems and methods for analyzing sequential data. The sequential data can comprise a sequence of data points arranged in a particular order and thus representing a sequence. A number of such sequences can be analyzed, for example, to identify patterns or commonalities within the sequences or portions of sequences represented by the data. According to one embodiment, a method of identifying patterns in sequences of data points can comprise reading a set of sequential data. The sequential data can comprises a plurality of sequences and each of the plurality of sequences can represent an ordered sequence of tokens. A dotplot representing matches between each sequence of the plurality sequences can be generated. One or more patterns within the sequential data can then be identified based on the dotplot.

Abstract: A method and apparatus for identifying individual trees in LiDAR data based on the view of a LiDAR data point. In one embodiment, the number of trees represented by a LiDAR data point cluster is estimated based on a calculated value related to the exposure to the sky of a LiDAR data point in the LiDAR data point cluster.

Abstract: An electronic document analysis method receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the method comprising, for at least one individual issue from among the set of issues, receiving an output of a categorization process applied to each document in training and control subsets of the at least N documents, the output including, for each document in the subsets, one of a relevant-to-the-individual issue indication and a non-relevant-to-the-individual issue indication; building a text classifier simulating the categorization process using the output for all documents in the training subset of documents; and running the text classifier on the at least N documents thereby to obtain a ranking of the extent of relevance of each of the at least N documents to the individual issue.

Abstract: Disclosed are methods and apparatus for analyzing and using online short messages from promoting entity accounts (e.g., business or non-profit accounts). In one embodiment, a method of analyzing and using messages sent for a plurality of promoting entity accounts is disclosed. A plurality of models for classifying a plurality of messages based on a plurality of message features are obtained for each message. Each message is sent via a computer network between a selected one of the promoting entity accounts and one or more subscribing users that subscribe to receive messages from such selected promoting entity account, and each model is trained to identify whether a message belongs to a particular class based on a lexicon that was generated for such particular class and a training set of messages that belong to the particular class and message that do not belong to the particular class.

Abstract: A computer-implemented sepsis alerting method is disclosed. The method involves automatically extracting with a computer system, from records maintained for a patient under care in a healthcare facility, information from a electronic medical record, and obtaining with the computer system information about real-time status of the patient. The method also involves using the information from the electronic medical record and the information about the real-time status to determine whether the patient is likely to be suffering from dangerous probability of sepsis, using information from the electronic medical record to determine whether treatment for sepsis is already being provided to the patient, and electronically alerting a caregiver over a network if it is determined that a potentially dangerous level of sepsis exists and that treatment for sepsis is not already being provided.

Abstract: Bodies of media may be summarized in various ways depending on numerous factors, thus resulting in summaries that are tailored to particular desires of consumers. An instruction may be received to provide a summary of at least a portion of the body of media. Software stored in memory may then be executed by a processor to determine one or more factors for providing the summary. The summary may be selected, based on the one or more factors, from a plurality of available summaries stored in memory. The plurality of available summaries corresponds to the at least a portion of the body of media. Finally, the selected summary may be provided to a consumer via an output device.

Abstract: The present invention is directed in general to a system and method that employs radiological localization ontology to localize specified and modeled radiological domain knowledge. A system and method are provided that allows for consulting the ontology in the context of the model the ontology fulfills. The result of consulting the ontology will be localized radiological information based on information provided in the consultation. Even further, such result is validated, identified and classified radiological information that is based on information provided in the consultation. By consulting the ontology the system is also able to translate designated radiological information from one localized representation to another and consult a language independent radiological domain knowledge.

Abstract: Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

Abstract: A moving obstacle deciding apparatus includes a search signal transmitting and receiving section 1 for transmitting a search signal, and for receiving the search signal reflected from a search target as a detection signal; a decision reference value calculating section 6 for calculating a decision reference value based on the detection signal received by the search signal transmitting and receiving section 1; and a moving obstacle deciding section 10 for making a decision as to whether the search target is a moving obstacle or not in accordance with a compared result of a difference value between decision reference values obtained by the decision reference value calculating section 6 in time-series searches with a prescribed threshold.

Abstract: A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events.

Abstract: A method of controlling movement of an agent operating within an autonomous system includes determining, using a processing device associated with the agent, a highest attraction point for the agent on a line of optimal transmission between a detected event within an area of surveillance by the autonomous system and a base station within the autonomous system, and calculating an attraction force for the agent, based on the line of optimal transmission and location of the detected event; determining proximity of the agent to one or more additional agents operating within the autonomous system, and calculating a repulsion force for the agent so as to maintain a minimum separating distance between the agent and the one or more additional agents; calculating a resultant force for the agent based on the attraction force and the repulsion force; and changing a direction of the agent based on the resultant force.

Abstract: A relation equation between wave information on unpermed hair strands and evaluation values of appearance of whole hair selected from among gloss of the whole hair, order of alignment of the hair strands, and frizziness of the hair strand is acquired from a plurality of subjects. Based on the relation equation, the appearance of whole hair of an arbitrary subject is evaluated from wave information on a hair strand of the arbitrary subject. This allows an objective evaluation of the gloss of whole hair, the order of alignment of hair strands, or the frizziness of the hair strand by a simple technique, and also allows an objective evaluation corresponding to cosmetic specialists' evaluations in terms of equivalent age.

Abstract: Methods, systems, and means for automatically identifying content to he presented are provided. In particular, content may he automatically identified by first determining a duration during which a user will be performing an activity and determining a mood description of the activity. Characteristics of a plurality of the entertainment content that include length of each of the plurality of entertainment content and a mood description of each of the plurality of entertainment content may be retrieved from memory. The retrieved characteristics may then be compared with the duration of the activity and the mood description of the activity. Next, entertainment content from the plurality of entertainment content to be presented during the activity may be automatically selected. Finally, the entertainment content may be presented to the user.

Abstract: In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

Abstract: A predictive destination entry system for a vehicle navigation system to aid in obtaining a destination for the vehicle. The navigation system utilizes a memory for storing data relating to prior driving history or habits. A processor connected with the memory examines the information stored in the memory for making predictions for the current destination desired by a user of the vehicle. The information stored in the memory may be segregated into distinct user profiles and may include the vehicle location, previous driving history of the vehicle, previous searching history of a user of the vehicle, or sensory input relating to one or more characteristics of the vehicle. The navigation system may either confirm the predicted destination with the user of the vehicle before generating or displaying a travel route to the predicted destination or may automatically generate and display the travel route without verifying the destination with the user.

Abstract: A compound property prediction apparatus includes a memory storing a training sample library in which a parameter value and a value for a prediction item are preregistered for each individual one of a plurality of training samples and an input device inputting data concerning an unknown sample. Also included is a processor programmed to generate a parameter of the unknown sample, calculate the degree of similarity between the unknown sample and an individual training sample, construct a sub-sample set by extracting training samples whose degree of similarity to the unknown sample is not smaller than a predetermined threshold value, construct a prediction model from the sub-sample set, and calculate the prediction value of the unknown sample based on the prediction model. If necessary, the threshold value is changed until a predetermined minimum number of training samples are included in the sub-sample set.

Abstract: Content detection for senders reviews and compares content for sending to one or more profile parameters of a recipient. The one or more profile parameters describe the characteristics of the recipient. Portions of the content determined to be inappropriate or offensive to the recipient based on the recipient's profile parameters are tagged and the sender is alerted. Alternative suggestions to replace those portions in the content may be provided.

Abstract: A media player can identify one or more elements of a media presentation and select an element of the media presentation for generating output. The elements may be identified in a playlist or elsewhere. For example, the playlist may specify a composition of a plurality of visual, audio, or other elements for generating output or other behavior in parallel and/or in series over the course of the media presentation. The media player can comprise a playback component configured to utilize at least one selectively-enabled functional component of the media player to generate output based on evaluating the trait(s) exposed by the selected element. Traits may be determined based on analyzing media types or other data regarding the elements of the presentation.

Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

Abstract: Embodiments treat cyclical behaviors based on behavioral data describing physiological factors affecting the behaviors. According to various embodiments, a processor or probe produce, from the behavioral data, factor data concerning the factors. Using a processor or recommendation engine that analyzes the factor data, treatment data is recommended based on an estimate of how the at least one factor affects the at least one cyclical behavior. A processor or feedback engine determines, from the treatment data, behavioral feedback configured to produce new behavioral data and to harness the effects of the factors to improve the cyclical behaviors.

Abstract: An approach is provided for providing recommendation services while protecting the privacy of personal user information. The approach involves determining a request for at least one recommendation, the request specifying at least in part an anonymized user preference record. The approach also involves causing, at least in part, a comparison of the anonymized user preference record against one or more previously stored anonymized user preference records. The approach further involves causing, at least in part, a selection of the anonymized user preference record, the one or more previously stored anonymized user preference records, or a combination thereof based, at least in part, on the comparison. The approach additionally involves determining to generate the at least one recommendation based, at least in part, on the selection.

Abstract: Embodiments of the invention provide systems and methods for analyzing sequential data. The sequential data can comprise a sequence of data points arranged in a particular order and thus representing a sequence. A number of such sequences can be analyzed, for example, to identify patterns or commonalities within the sequences or portions of sequences represented by the data. According to one embodiment, a method of identifying patterns in sequences of data points can comprise reading a set of sequential data. The sequential data can comprises a plurality of sequences and each of the plurality of sequences can represent an ordered sequence of tokens. A dotplot representing matches between each sequence of the plurality sequences can be generated. One or more patterns within the sequential data can then be identified based on the dotplot.

Abstract: An apparatus that generates a power model for an electronic device, an apparatus that operates in accordance with a generated power model, and methods for generating a power for an electronic device are disclosed. In a particular embodiment, a method of generating a power model for the electronic device includes reducing training data to identify a subset of operating parameters of an electronic device that contribute most to power consumption of the electronic device and generating the power model for the electronic device based on the reduced training data. The power model is operative to predict a power consumption value corresponding to the electronic device responsive to a set of operating parameter values corresponding to operation of the electronic device.

Abstract: A method for recommending an application includes obtaining an input model representing user interaction patterns during execution of a first application. The input model is compared to a reference model representing user interaction patterns during execution of a second application. A similarity is determined between the input model and the reference model. A recommendation of the second application is generated in response to the similarity.

Abstract: An information processing system includes a media information acquisition section that acquires media information, a media information storage section that stores the media information acquired by the media information acquisition section, a usualness level evaluation section that evaluates a usualness level of a user based on information that includes sensor information from at least one of a behavior sensor that measures a behavior of the user, a condition sensor that measures a condition of the user, and an environment sensor that measures an environment of the user, and a write section that writes the usualness level of the user evaluated by the usualness level evaluation section in the media information storage section so that the usualness level is linked to the media information acquired by the media information acquisition section.

Abstract: A method for communicating information associated with emergency calls communicated to emergency response centers includes receiving, by an emergency call analysis system, emergency call information that defines an emergency call communicated to an emergency response center within a geographic region. The emergency call information includes location information of the emergency call. The emergency call analysis system may then determine statistical information associated with emergency calls made within a geographic region. A computer server may then generate browser code executable by a browser to cause the browser to display the statistical information.

Abstract: A system and method for information retrieval are disclosed. The method includes querying a multimedia collection with a first component of a multimedia query (e.g., a text-based part of the query) to generate first comparison measures between the first component of the query and respective objects in the collection for a first media type (e.g., text). The multimedia collection is queried with a second component of the multimedia query (e.g., an image-based part of the query) to generate second comparison measures between the second component of the query and respective objects in the collection for a second media type (e.g., visual). An aggregated score for each of a set of objects in the collection is computed, based on the first comparison measure and the second comparison measure for the object.