Tapicu, Inc. Patent applications |
Patent application number | Title | Published |
20160140115 | Strategies for indexing, ranking and clustering multimedia documents - A method for a system that indexes, ranks, and clusters multimedia documents using organizing means, scoring means, and stochastic means that optimizes parameter sets comprising of object parameters. The method creates a plurality of individual parameter sets, the parameter sets comprising information sharing system object parameters for describing a model, structures, shape, design, process, search query sets, and dynamic search spaces to be optimized using selective variations, constructive variations, clustering variations, and stochastic variations. The optimizations of the search space are guided by document query terms of the search query set object parameter. The search space is defined in terms of the terminal set, function set, and fitness measures (NN computations). The quality and speed of an EC application is controlled by the algorithm control parameters (the rates associated with node selection and document migration) and terminal criterion (continuous search for optimal distribution of multimedia documents). Satisfying the terminal criteria for the optimization of the dynamic search space object parameter which provides a synchronization point in which additional multimedia documents can be added to the global multimedia document object parameter. | 05-19-2016 |
20160026625 | Global optimization strategies for indexing, ranking and clustering multimedia documents - A method for a system that indexes, ranks, and clusters multimedia documents using assessment means, scoring means, stochastic means, and organizing means that optimizes parameter sets comprising of object parameters. The method creates a plurality of individual parameter sets, the parameter sets comprising information sharing system object parameters for describing a model, structures, shape, design, process, search query sets, and dynamic search spaces to be optimized using selective variations, constructive variations, clustering variations, and stochastic variations. The optimizations are guided by document query terms of the search query set object parameter that are initially optimized by assessment means, scoring means, stochastic means, and organizing means that lead to selective variations, constructive variations, clustering variations, and stochastic variations of the parameter sets. The global optimization of parameter sets leads to stochastically improvements to all object parameters by selective variations, constructive variations, clustering variations, and stochastic variations. | 01-28-2016 |
20120016820 | Stochastic search strategies for multimedia resource discovery and retrieval system - A method is described for applying distributed stochastic optimization techniques of evolutionary computation using a plurality of servers and a plurality of clients machines being connected via a computer network such as the Internet. The stochastic optimization techniques of evolutionary computation seek to optimize a populations of individuals against one or more predetermined fitness criteria when applied to solving solve the network routing problem coupled with one or more information retrieval problems. The field of evolutionary computation encompasses stochastic optimization techniques, such as randomized search strategies, in the form of evolutionary strategies (ES), evolutionary programming (EP), genetic algorithms (GA), classifier systems, evolvable hardware (EHW), and genetic programming (GP). The stochastic optimization component objectives of the multimedia resource discovery and retrieval systems includes maximization of resource utilization and of overall LAN throughput. | 01-19-2012 |
20120016819 | Distributed multimedia document indexing strategies - A method for a system that indexes/ranks/clusters multimedia documents using hybrids of information retrieval algorithms and the stochastic optimization techniques of evolutionary computation (EC) that optimizes parameter sets comprising of object parameters. The method creates a plurality of individual parameter sets, the parameter sets comprising information sharing system object parameters for describing a model, structure, shape, design, process, search query set, or dynamic search space to be optimized and setting the initial population as a current (static parent) population. These parameters are required to filter, organize, and index any large-scale data set—information stored on a single computer, a local area network (LAN), and a wide area network (WAN) that encompasses the whole Internet—that may consists of constantly fluctuating information content over relatively short periods of time | 01-19-2012 |
20110191322 | Stochastic optimization techniques of evolutionary computation search strategies for an information sharing system - An information sharing system to solve one or more information retrieval problems is concerned with the novel, hybrid use of the stochastic optimization techniques of evolutionary computation (EC) search strategies for computer information systems such as search engines, or service oriented architectures (SOAs). The information sharing system uses stochastic optimization agents for task distribution and communication when foraging a system of stored documents for information, assessing the computational effort required to retrieve information in the form of stored documents, sharing information among stochastic optimization agent processes and processors, and extracting knowledge from the information. The field of evolutionary computation encompasses stochastic optimization techniques, such as randomized search strategies, in the form of evolutionary strategies (ES), evolutionary programming (EP), genetic algorithms (GA), classifier systems, evolvable hardware (EHW), and genetic programming (GP). The information sharing system is an attempt to harness information processing models by adapting to information system fluctuations that occur within a computer, a local area network, and a wide area network that encompasses the whole Internet. | 08-04-2011 |