Hirotaka Suzuki 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).
Abstract: An information processing device includes: an object module determining unit for determining of a learning model having a time series pattern storage model for storing a time series pattern as a module which is the minimum component, a maximum likelihood module having the maximum likelihood, or a new module to be an object module that is a module having a model parameter of the storage model to be updated; and an updating unit for updating the model parameter of the object module using learned data to be used for learning that is the time series of an observed value; with the object module determining unit using the learned data to determine the maximum likelihood module or the new module to be the object module based on the posterior probability of the learning model in the case that learning of the maximum likelihood module or the new module has been performed.
Abstract: An information processing device includes: a hierarchy processing unit for generating a unit to connect the unit in a hierarchical structure, the unit including an input control unit for performing input control for storing an observed value, and outputting the time series of the observed value as input data to be given to a learning model having an HMM (Hidden Markov Model) as a minimum component module, a model processing unit for performing processing using the learning model, including a module learning unit for obtaining likelihood of the input data being observed with the module, to determine one module of the learning model, or new module to be an object module having HMM parameters to be updated, and to perform module learning processing for updating the HMM parameters, and a recognizing unit for recognizing the input data using the learning model, and an output control unit for performing output control.
Abstract: The present invention is intended to provide a quick search of a plurality of sets. A common representative point setting block sets a common representative point common to sets on the basis of a feature vector stored in a vector information storage block and stores the set point into a common representative point information storage block. A neighborhood table group creation block creates a neighborhood table for each set on the basis of the vector information and common representative point information and stores the created table in a neighborhood table group storage block. A nearest neighborhood vector group search block, upon acquisition of an input vector, searches each set for a nearest neighborhood vector of the input vector on the basis of the vector information, the common representative point information, and the neighborhood table group and outputs the retrieved nearest neighborhood vector as a comparison result. The present invention is applicable to image processing apparatuses.
Abstract: A data processing apparatus includes an obtaining unit configured to obtain time-series data from a wearable sensor, an activity model learning unit configured to learn an activity model representing a user activity state as a stochastic state transition model from the obtained time-series data, a recognition unit configured to recognize a current user activity state by using the activity model of the user obtained by the activity model learning unit, and a prediction unit configured to predict a user activity state after a predetermined time elapses from a current time from the current user activity state recognized by the recognition unit.
Abstract: An information processing apparatus includes a storage unit configured to store a node holding dynamics; an input-weight-coefficient adjuster configured to adjust input-weight coefficients on a dimension-by-dimension basis, the input-weight coefficients being weight coefficients for individual dimensions of input data input to input units of the node, the input data being observed time-series data having a plurality of dimensions; and an output-weight-coefficient adjuster configured to adjust output-weight coefficients on a dimension-by-dimension basis, the output-weight coefficients being weight coefficients for individual dimensions of output data having a plurality of dimensions and output from output units of the node.
Abstract: An information processing apparatus includes a feature amount extraction unit extracting a feature amount of each frame of an image, a maximum likelihood state series estimation unit estimating maximum likelihood state series using the feature amount, a highlight label generation unit generating highlight label series with respect to the attention detector learning content, and a learning unit learning the highlight detector that is the state transition probability model using learning label series that is a pair of the maximum likelihood state series obtained from the attention detector learning content and the highlight label series.
Abstract: There are provided a resin composition comprising a polylactic acid which (i) comprises a poly-L-lactic acid (component B-1) and a poly-D-lactic acid (component B-4), (ii) has a weight ratio of the component B-1 to the component B-4 (component B-1/component B-4) of 10/90 to 90/10, and (iii) shows a proportion of melt peaks at 195° C. or higher to all melt peaks in a temperature rising process in measurement by a differential scanning calorimeter (DSC) of at least 20%; a molded article of the resin composition; and methods for producing the resin composition and the molded article.
Abstract: A manufacturing apparatus of polylactic acid having at least an inlet and an outlet of a substance to be reacted and an exhaust port provided in a horizontal reaction vessel not having continuous rotating shafts in a direction of center line of a rotating shaft of a stirring blade provided in the reaction vessel and a manufacture method. By removing low molecular weight substance in the polylactic acid, high-quality polylactic acid can be stably manufactured.
Abstract: A polylactic acid composition wherein a ratio (L/D) of an L-lactic acid unit and a D-lactic acid unit is from 30/70 to 70/30; a weight average molecular weight (Mw) is from 100,000 to 300,000; a stereocomplex crystal content (S) is 80% or more; a melting point (Tm) of a stereocomplex crystal is 200° C. or higher; and a degree of randomization (R) is from 0.001 to less than 2.5%, and a fiber thereof.
Abstract: It is an object of the present invention to provide a polylactic acid composition having excellent crystallinity, wet heat stability and melt stability. It is another object of the present invention to provide a molded article which is obtained from the polylactic acid composition and excellent in appearance and color. The present invention is a composition and molded article thereof which comprises a polylactic acid (component A), a carbodiimide compound (component B) and a phosphoric acid ester metal salt (component C).
February 21, 2008
April 15, 2010
TEIJIN LIMITED, MUSASHINO CHEMICAL LABORATORY, LTD.
Kohei Endo, Hirotaka Suzuki, Takaaki Matsuda, Shin To
Abstract: A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-series data.
Abstract: A method of producing a stereocomplex polylactic acid having a high melting point and a high molecular weight, wherein only stereocomplex crystals are grown even when melting and crystallization are repeated. The method comprises the steps of: (1) obtaining a first polylactic acid by the ring-opening polymerization of a first lactide composed of lactic acid units of the same chirality; (2) obtaining a purified first polylactic acid by removing the lactide from the first polylactic acid in a molten state under reduced pressure; (3) obtaining a second polylactic acid by the ring-opening polymerization of a second lactide which differs from the first lactide in chirality in the presence of the purified first polylactic acid; and (4) obtaining a purified second polylactic acid by removing the lactide from the second polylactic acid in a molten state under reduced pressure.
Abstract: In an image recognition apparatus, feature point extraction sections and extract feature points from a model image and an object image. Feature quantity retention sections extract a feature quantity for each of the feature points and retain them along with positional information of the feature points. A feature quantity comparison section compares the feature quantities with each other to calculate the similarity or the dissimilarity and generates a candidate-associated feature point pair having a high possibility of correspondence. A model attitude estimation section repeats an operation of projecting an affine transformation parameter determined by three pairs randomly selected from the candidate-associated feature point pair group onto a parameter space. The model attitude estimation section assumes each member in a cluster having the largest number of members formed in the parameter space to be an inlier.
Abstract: A composition which comprises polylactide and has excellent heat stability, color and hydrolytic resistance. The composition comprises (i) polylactide, (ii) a metal catalyst and (iii) a hypophosphorous acid-based deactivator or a metaphosphoric acid-based deactivator.
October 4, 2006
September 17, 2009
Hirotaka Suzuki, Kiyotsuna Toyohara, Shin To
Abstract: An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.
Abstract: Disclosed is a client apparatus including a communication unit, a first generator to generate friendship information indicating a friendship between a first user of the client apparatus and each of second users of the plurality of other client apparatuses, a storage unit to store schedule information and meeting history information, a second generator to generate desired meeting date/time information of the first user, a third generator to generate desired meeting place information of the first user, a fourth generator to generate meeting member candidate information, and a controller to control the communication unit to transmit, to the server apparatus, the desired meeting date/time information, the desired meeting place information, and the meeting member candidate information.
Abstract: An information processing apparatus includes a storing unit that stores information concerning model feature points and model feature quantities at the model feature points, a first acquiring unit that acquires an input moving image, a first feature-point extracting unit that extracts input feature points for recognizing an action from the input moving image, a first feature-quantity extracting unit that extracts input feature quantities at the input feature points, a feature-quantity comparing unit that compares the input feature quantities and the model feature quantities and generates candidate corresponding feature point pairs, a posture estimating unit that removes outliers from the candidate corresponding feature point pairs, estimates postures of models on the input moving image, and obtains a recognition corresponding feature point pair group corresponding to the postures, and a recognition-result generating unit that generates a recognition result on the basis of the recognition corresponding feature
Abstract: It is an object of the present invention to provide a composition which contains polylactic acid and has excellent heat stability, mechanical strength and color. The composition contains 0.001 to 0.1 part by weight of a metal catalyst and 0.001 to 0.5 part by weight of a phosphono-fatty acid ester based on 100 parts by weight of polylactic acid.
Abstract: The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section 23. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section 23. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration section 12 as the feature amount to be used in the recognition process. The present invention is applicable to a robot.
Abstract: There is provided a carbon fiber precursor polymer which is composed of a polymer comprising 50 wt % or greater of an acrylonitrile component, wherein the isotactic triad proportion of the acrylonitrile structural chain composed of the acrylonitrile component is 35 mole percent or greater based on the total triad proportion of the acrylonitrile structural chain composed of the acrylonitrile component, the carbon fiber precursor polymer allowing flame retardant treatment to be carried out slowly from a low temperature range, and having satisfactory flame retardant properties including low heat generation.