Patent application number | Description | Published |
20080235222 | SYSTEM AND METHOD FOR MEASURING SIMILARITY OF SEQUENCES WITH MULTIPLE ATTRIBUTES - A method (and structure) for quantifying an ordered sequence of data, includes receiving data of the ordered sequence and determining a skeleton of the ordered sequence. The skeleton includes a plurality of perceptually important points (PIPs) of the ordered sequence, as derived by determining one or more points of local maxima of the data over the ordered sequence. | 09-25-2008 |
20080317336 | Color naming, color categorization and describing color composition of images - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc. | 12-25-2008 |
20090006173 | METHOD AND APPARATUS FOR IDENTIFYING AND USING HISTORICAL WORK PATTERNS TO BUILD/USE HIGH-PERFORMANCE PROJECT TEAMS SUBJECT TO CONSTRAINTS - A method for identifying and using historical work patterns to build high-performance project teams, in one aspect, may comprise identifying historical data associated with one or more past projects, determining from said historical data, one or more patterns in team member attributes that are correlated with at least one of an individual determined to be successful and a project determined to be successful, and generating one or more staffing plans based on said determined patterns. A system and program storage device for performing finctionalities of the method are also provided. | 01-01-2009 |
20090182771 | METHOD AND APPARATUS FOR INFORMATION BOOSTING IN RELATED BUT DISCONNECTED DATABASES - Method and apparatus for information boosting in related but disconnected databases, in one aspect, may comprise identifying disconnected data sources comprising data that are related or dependent on one another, determining one or more relationships and dependencies among the disconnected data, and refining the data sources based on one or more relationships and dependencies. | 07-16-2009 |
20090299806 | METHOD AND APPARATUS FOR DEMAND AND/OR SKILL HEDGING - A risk management method and system determine distribution of skills, composition of skills and resources to achieve said distribution, a set of actions to achieve said composition, a portfolio of service and/or product offerings, a composition of staffing plans to achieve said portfolio, and a set of demand conditioning actions to achieve said composition, in order to hedge against uncertainty based on demand information, risk information, product and/or service revenue and information, and skill cost and information, while meeting business objectives. | 12-03-2009 |
20100145961 | System and method for adaptive categorization for use with dynamic taxonomies - A system, method and computer program product provides a solution to a class of categorization problems using a semi-supervised clustering approach, the method employing performing a Soft Seeded k-means algorithm, which makes effective use of the side information provided by seeds with a wide range of confidence levels, even when they do not provide complete coverage of the pre-defined categories. The semi-supervised clustering is achieved through the introductions of a seed re-assignment penalty measure and model selection measure. | 06-10-2010 |
20110216973 | COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc. | 09-08-2011 |
20110235904 | COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc. | 09-29-2011 |
20130011056 | COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc. | 01-10-2013 |
20140317033 | PREDICTIVE AND DESCRIPTIVE ANALYSIS ON RELATIONS GRAPHS WITH HETEROGENEOUS ENTITIES - A system, method and computer program product provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product. | 10-23-2014 |
20140317038 | PREDICTIVE AND DESCRIPTIVE ANALYSIS ON RELATIONS GRAPHS WITH HETEROGENEOUS ENTITIES - A method provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product. | 10-23-2014 |