Abstract: For generating a word space, manual thresholding of word scores is used. Rather than requiring the user to select the threshold arbitrarily or review each word, the user is iteratively requested to indicate the relevance of a given word. Words with greater or lesser scores are labeled in the same way depending upon the response. For determining the relationship between named entities, Latent Dirichlet Allocation (LDA) is performed on text associated with the name entities rather than on an entire document. LDA for relationship mining may include context information and/or supervised learning.

Abstract: A method of compressed sensing imaging includes acquiring a sparse digital image b, said image comprising a plurality of intensities corresponding to an I-dimensional grid of points, initializing points (x(k), y(k)), wherein x(k) is an element of a first expanded image x defined by b=R??1 x, wherein R is a Fourier transform matrix, ? is a wavelet transform matrix, y(k) is a point in ? ( ? i = 1 l ? ( ? i ? ? - 1 ? x ( k ) ) 2 ) 1 / 2 , ?i is a forward finite difference operator for a ith coordinate, and k is an iteration counter; calculating a first auxiliary variable s(k) from x ( k ) - ? 1 ( ?? ? ? n ? L n * ? y n ( k ) + ? ? ? R * ( R ? ? ? - 1 ? x ( k ) - b ) ) , wherein ?1,? are predetermined positive scalar constants, the sum is over all points n in x, and L* is an adjoint of operator L=(?1, . . .

Abstract: A system and method for mild cognitive impairment (MCI) class discovery using gene expression data are provided. The method comprises: acquiring gene expression data of a patient having MCI; and identifying a putative MCI subtype based on an expression signature in the gene expression data, wherein the putative MCI subtype is identified by using a boosting tree.

Abstract: A method for scheduling a project such as the inspection and maintenance of a gas turbine utilizes a branch and bound technique for arriving at a solution. The branch and bound technique is improved by using an all-pair longest path algorithm in preprocessing to tighten the set of possible start times of the tasks. That set is further tightened by considering two-forbidden-task pairs; i.e., pairs of tasks that cannot execute at the same time due to conflicting resource needs. A hard lower bound of a branch is determined by using all-pair longest path update and two-forbidden-task pair update, reducing the need to recalculate.

Abstract: A method for optimizing operational settings for a plurality of energy devices includes representing each of the plurality of energy devices in terms of a set of decision variables and operational parameters. The decision variables and operational parameters are constrained based on operational conditions and interrelationship within the plurality of energy devices. A two-tiered model of the plurality of energy devices is generated wherein a top tier of the model represents interaction of various sub-models and a bottom tier of the model includes a set of the sub-models that form the top tier, each sub-model representing detailed operation of the plurality of energy devices. The two-tiered model is optimized to provide either a schedule of operation for the plurality of energy devices or real-time control for the plurality of energy devices.

Abstract: A method for navigating digital medical images includes providing a digitized patient medical image of a structure of interest in a patient, using a pre-trained classifier to segment the structure of interest from the image, creating links from the structure of interest to a corresponding structure in an anatomical atlas, receiving a query to view the structure of interest, parsing the query to identify one or more keywords from noun phrases in the query, mapping a keyword to a corresponding structure in the anatomical atlas, wherein the anatomical atlas structure is associated with a link to the corresponding structure in the patient image, and following the link to display said patient structure of interest.

Abstract: A system and method for planning outages for a power generation installation comprising a gas turbine power plant. The system and method utilizes a computer to receive requests from users to create maintenance plans for the power plant by generating templates, applying the templates to a database containing gas turbine data for the power generation installation; and receiving data from users to create maintenance package plans. Users can select either modular or turnkey maintenance plans. Modular maintenance package options enable a user to specifically select and obtain price quote information for parts and technicians who perform the maintenance tasks, and to specify particular shift options for the technicians.

Abstract: A method for diagnosing depression includes providing surface-enhanced laser desorption/ionization mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analyzing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.

Abstract: A computer system for integrating medical information using the Unified Medical Language System (UMLS) as a taxonomy of medical terms includes a learner module for learning from training data concept classifiers for a source ontology and a target ontology, a mapper module for generating associations between source and target ontology classifiers using the UMLS, an annotator module for extracting knowledge from test data using source and target ontology classifiers and UMLS, and a feedback module for ranking associations according to a level or certainty, and presenting those associations that fall below a predefined level of certainty to a user for correction.

Abstract: Systems and methods are provided for implementing electronic business applications for managing and selling spare parts, wherein electronic catalogs of spare parts are used to present static and/or real-time spare parts data from disparate backend data sources in a uniform, integrated manner, and wherein business logic programs are provided to support transaction activities using the electronic catalogs of spare parts, such as navigating the catalog content, and retrieving static and/or real-time spare parts data and initiating spare parts sales with the backend business information systems and spare parts data source.

Abstract: A method of compressed sensing imaging includes acquiring a sparse digital image b, said image comprising a plurality of intensities corresponding to an I-dimensional grid of points, initializing points (x(k), y(k)), wherein x(k) is an element of a first expanded image x defined by b=R??1 x, wherein R is a Fourier transform matrix, ? is a wavelet transform matrix, y(k) is a point in ? ( ? i = 1 l ? ( ? i ? ? - 1 ? x ( k ) ) 2 ) 1 / 2 , ?i is a forward finite difference operator for a ith coordinate, and k is an iteration counter; calculating a first auxiliary variable s(k) from x ( k ) - ? 1 ( ?? ? ? n ? L n * ? y n ( k ) + ? ? ? R * ( R ? ? ? - 1 ? x ( k ) - b ) ) , wherein ?1,? are predetermined positive scalar constants, the sum is over all points n in x, and L* is an adjoint of operator L=(?1, . . .

Abstract: A method of generating a searchable database system for storing and querying Extensible Markup Language (XML) documents is disclosed. A Document Type Description (DTD) associated with one or more XML documents is analyzed to determine a scope of XML documents defined by the DTD. A first set of elements associated with the DTD is identified. The first set of elements is mapped to a relational database. A second set of elements associated with the DTD to be stored in an XML database is identified. A collection of classes is created such that each class defines an object schema. The classes are mapped to a set of corresponding tables, and foreign and primary keys associated with the corresponding tables are identified.

Abstract: A learning management system includes a content storage unit for storing learning content, a user modeling unit in signal communication with the content storage unit and having a user model, a personalization unit in signal communication with the content storage unit for personalizing the learning content stored in the content storage unit in response to the user model, and a user interface in signal communication with the content storage unit for enabling a user to interact with the learning management system, wherein the learning management system delivers content responsive to user interaction with the learning management system.

Abstract: A technique for optimizing the archival and management of data stored as XML documents is capable of handling mixed data including highly structured data and unstructured data. The technique maps the structured data to a relational database while storing the unstructured data in its native XML format. The data is updated using a rules database that maps updating rules against attributes and classes of elements within the documents. A document checking/validation engine performs the updates based on rule verification. A search engine searches the documents using both a path index table and a weighted content index.

Abstract: A method for diagnosing Amyotrophic lateral sclerosis includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.

Abstract: A method and computer program product for reducing noise in diffusion tensor imaging data utilizes an optimization function performed on voxels or pixels of the image. The optimization function includes a neighborhood relevance component that considers diffusion tensor matrices from neighboring pixels or voxels. The neighborhood relevance component is modeled as a Markov Random Field. The method includes an iteration that seeks convergence of an Expectation Maximization algorithm performed on the diffusion tensor matrices.

Abstract: Systems and methods for automatically extracting form information (document structure, elements, format, etc.) from electronic documents such as raster-based passive documents, and storing such form information in a file in accordance with a predetermined DTD (document type definition).

Abstract: Disclosed is a method for the creation of maintenance plans. The maintenance plans are created by determining the service requirements for equipment, and normalizing the service requirements. These service requests are formalized in the language of XML Schema and semantic heterogeneity between different plans resolved with the use of ontologies. The matched service requests are combined to form the global service plan. Finally, resources may then be allocated to execute the created maintenance plans and appropriate maintenance schedules are identified based in the created maintenance plans.

Abstract: Document processing and understanding can be important for a variety of applications such as office automation, creation of electronic manuals, online documentation and annotation, etc. The first step towards this process can involve the decomposition of a page into separate units describing the text, graphics, pictures etc. Towards that end, a method of page decomposition comprises segmenting an image into a plurality of blocks according to an amount of information contained in each block, classifying each block according to a corresponding frequency spectrum, and refining a classification of each block.

Abstract: A method for navigating digital medical images includes providing a digitized patient medical image of a structure of interest in a patient, using a pre-trained classifier to segment the structure of interest from the image, creating links from the structure of interest to a corresponding structure in an anatomical atlas, receiving a query to view the structure of interest, parsing the query to identify one or more keywords from noun phrases in the query, mapping a keyword to a corresponding structure in the anatomical atlas, wherein the anatomical atlas structure is associated with a link to the corresponding structure in the patient image, and following the link to display said patient structure of interest.