Patents by Inventor Giovanni B. Marchisio
Giovanni B. Marchisio has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9619734Abstract: Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.Type: GrantFiled: August 27, 2015Date of Patent: April 11, 2017Assignee: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Carsten Tusk, Krzysztof Koperski, Mark D. Tabb, Jeffrey D. Shafer
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Patent number: 9569690Abstract: Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.Type: GrantFiled: August 14, 2015Date of Patent: February 14, 2017Assignee: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Mark D. Tabb, Carsten Tusk, Krzysztof Koperski, Jeffrey D. Shafer
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Patent number: 9378285Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: GrantFiled: September 5, 2014Date of Patent: June 28, 2016Assignee: VCVC III LLCInventors: Giovanni B. Marchisio, Navdeep S. Dhillon, Carsten Tusk, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Matthew E. Brown
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Publication number: 20150371115Abstract: Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.Type: ApplicationFiled: August 27, 2015Publication date: December 24, 2015Inventors: Giovanni B. Marchisio, Carsten Tusk, Krzysztof Koperski, Mark D. Tabb, Jeffrey D. Shafer
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Publication number: 20150356373Abstract: Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.Type: ApplicationFiled: August 14, 2015Publication date: December 10, 2015Inventors: Giovanni B. Marchisio, Mark D. Tabb, Carsten Tusk, Krzysztof Koperski, Jeff D. Shafer
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Publication number: 20150310104Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: September 5, 2014Publication date: October 29, 2015Inventors: Giovanni B. Marchisio, Navdeep S. Dhillon, Carsten Tusk, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Matthew E. Brown
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Patent number: 9147132Abstract: Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.Type: GrantFiled: September 11, 2013Date of Patent: September 29, 2015Assignee: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Carsten Tusk, Krzysztof Koperski, Mark D. Tabb, Jeffrey D. Shafer
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Patent number: 9141872Abstract: Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.Type: GrantFiled: September 11, 2013Date of Patent: September 22, 2015Assignee: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Mark D. Tabb, Carsten Tusk, Krzysztof Koperski, Jeffrey D. Shafer
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Publication number: 20150071528Abstract: Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.Type: ApplicationFiled: September 11, 2013Publication date: March 12, 2015Applicant: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Carsten Tusk, Krzysztof Koperski, Mark D. Tabb, Jeffrey D. Shafer
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Publication number: 20150071538Abstract: Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.Type: ApplicationFiled: September 11, 2013Publication date: March 12, 2015Applicant: DigitalGlobe, Inc.Inventors: Giovanni B. Marchisio, Mark D. Tabb, Carsten Tusk, Krzysztof Koperski, Jeffrey D. Shafer
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Patent number: 8856096Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches.Type: GrantFiled: November 16, 2006Date of Patent: October 7, 2014Assignee: VCVC III LLCInventors: Giovanni B. Marchisio, Navdeep S. Dhillon, Carsten Tusk, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Matthew E. Brown
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Patent number: 8131540Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: March 10, 2009Date of Patent: March 6, 2012Assignee: Evri, Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Patent number: 7953593Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: March 10, 2009Date of Patent: May 31, 2011Assignee: Evri, Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090271179Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: ApplicationFiled: March 10, 2009Publication date: October 29, 2009Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090182738Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: ApplicationFiled: March 10, 2009Publication date: July 16, 2009Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Patent number: 7526425Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: December 13, 2004Date of Patent: April 28, 2009Assignee: Evri Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Patent number: 7398201Abstract: Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results and for indexing and searching data sets using entity tags alone or in combination therewith are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set according to a variety of levels of parsing and determines as appropriate the entity tags and syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository.Type: GrantFiled: February 19, 2003Date of Patent: July 8, 2008Assignee: Evri Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Alejandro Murua, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman
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Patent number: 7283951Abstract: Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set and determines the syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository. Upon subsequently receiving a query, the SQE parses the query similarly and searches the indexed stored data set to locate data that contains similar terms used in similar grammatical roles.Type: GrantFiled: November 8, 2001Date of Patent: October 16, 2007Assignee: Insightful CorporationInventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Alejandro Murua, Thien Nguyen
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Patent number: 7269598Abstract: An extension of an inverse inference search engine is disclosed which provides cross language document retrieval, in which the information matrix used as input to the inverse inference engine is organized into rows of blocks corresponding to languages within a predetermined set of natural languages. The information matrix is further organized into two column-wise partitions. The first partition consists of blocks of entries representing fully translated documents, while the second partition is a matrix of blocks of entries representing documents for which translations are not available in all of the predetermined languages. Further in the second partition, entries in blocks outside the main diagonal of blocks are zero. Another disclosed extension to the inverse inference retrieval document retrieval system supports automatic, knowledge based training.Type: GrantFiled: May 26, 2004Date of Patent: September 11, 2007Assignee: Insightful CorporationInventor: Giovanni B. Marchisio
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Patent number: 7051017Abstract: An information retrieval system that deals with the problems of synonymy, polysemy, and retrieval by concept by allowing for a wide margin of uncertainty in the initial choice of keywords in a query. For each input query vector and an information matrix, the disclosed system solves an optimization problem which maximizes the stability of a solution at a given level of misfit. The disclosed system may include a decomposition of the information matrix in terms of orthogonal basis functions. Each basis encodes groups of conceptually related keywords. The bases are arranged in order of decreasing statistical relevance to a query. The disclosed search engine approximates the input query with a weighted sum of the first few bases. Other commercial applications than the disclosed search engine can also be built on the disclosed techniques.Type: GrantFiled: December 10, 2002Date of Patent: May 23, 2006Assignee: Insightful CorporationInventor: Giovanni B. Marchisio