Abstract: A position indicator indicates a position on an input surface of a position detecting sensor and indicates a position in a three-dimensional space. The position indicator incudes: a casing, a position indicating part that is disposed at one end of the casing, and a tracker which, in operation, causes an external device to detect the position in the three-dimensional space. The position indicating part, in operation, indicates the position on the input surface of the position detecting sensor. A position of the tracker and a position of the position indicating part are in a specific positional relation.

Abstract: A rendering device that renders a three-dimensional object displayed in a virtual reality space on a display includes a processor and a memory storing instructions that, when executed by the processor, cause the processor to render the 3D object as a 3D object of 3D displaying in a virtual reality space coordinate system, render the 3D object as a 3D object of 2D displaying in a plane coordinate system, and update displaying of the display based on a result of the 3D object being rendered as the 3D object of 3D displaying in the virtual reality space coordinate system and a result of the object being rendered as the 3D object of 2D displaying in the plane coordinate system. The rendering device enables intuitive drawing with high accuracy in the virtual reality space.

Abstract: There is provided a supervised infinite binary matrix generation device that generates a binary matrix allowing humans to understand the meaning of each dimension. An input unit 71 inputs a dictionary matrix obtained by collecting binary row vectors of a plurality of types of patterns, a binary selection matrix having one “1” in each row, and a binary training matrix. The posterior probability calculation unit 72 calculates posterior probabilities of the dictionary matrix and the selection matrix, based on a generation process in which the dictionary matrix is generated by the Indian buffet process, a generation process in which the selection matrix is generated by the Dirichlet process, and a generation process in which the training matrix is probabilistically or deterministically generated from a part of the product of the dictionary matrix and the selection matrix.

Abstract: Provided are a leave of absence prediction system and the like capable of predicting whether an employees, etc. will take a leave of absence in a predetermined time.

Abstract: An object is to provide an information processing apparatus capable of analyzing operation log data that can be acquired through a digital device and effectively using the operation log data. An information processing apparatus (10) according to the present disclosure includes an information collection unit (11) configured to collect an operation log generated when a digital device is operated from a plurality of the digital devices, an execution unit (12) configured to co-cluster operator information and content information. The operator information is for identifying an operator of the digital device included in a plurality of the operation logs, and the content information is about content viewed by the operator using the digital device, and a post-processing unit (13) configured to create confirmation data using an execution result of the co-clustering.

Abstract: A position indicating device includes a housing in which an electronic pen including a pen tip is mountable, a force sense generator configured to generate a force sense, and a processor configured to control the force sense generator to generate the force sense when, with the electronic pen mounted in the housing, a distance between a position of the pen tip of the electronic pen in a virtual reality space and an object in the virtual reality space is equal to or less than a predetermined value.

Abstract: To automatically determine the invalidity of series data including the predicted value obtained based on assumed conditions. The index computation device 60 includes invalidity score output means 61 that outputs, when series data of a predetermined prediction target item is input, the series data including three or more pieces of data which indicate the value of the prediction target item in association with time, and at least one of which is data indicating a predicted value, an invalidity score that is an index indicating the invalidity of the series data and is based on an error between a curve model obtained by fitting the series data to a predetermined function form and the series data.

Abstract: The model generation device 60 of the present invention includes regularization parameter candidate setting means 61 that outputs a search set of regularization parameters in which a plurality of solution candidates are set, the solution candidates having at least mutually different values of a regularization parameter that affects a term of a strong regularization variable that is one or more variables specifically defined among the explanatory variables, model learning means that learns a prediction model corresponding to each of the plurality of solution candidates, accuracy evaluation means 62 that evaluates a prediction accuracy of each of the learned prediction models, transition evaluation means 63 that evaluates the number of defective samples, which is the number of samples for which a graph shape or the transition is not valid for each of the learned prediction models, and model determination means 64.

Abstract: A position indicator indicates a position on an input surface of a position detecting sensor and indicates a position in a three-dimensional space. The position indicator incudes: a casing, a position indicating part that is disposed at one end of the casing, and a tracker which, in operation, causes an external device to detect the position in the three-dimensional space. The position indicating part, in operation, indicates the position on the input surface of the position detecting sensor. A position of the tracker and a position of the position indicating part are in a specific positional relation.

Abstract: A rendering device that renders a three-dimensional object displayed in a virtual reality space on a display includes a processor and a memory storing instructions that, when executed by the processor, cause the processor to render the 3D object as a 3D object of 3D displaying in a virtual reality space coordinate system, render the 3D object as a 3D object of 2D displaying in a plane coordinate system, and update displaying of the display based on a result of the 3D object being rendered as the 3D object of 3D displaying in the virtual reality space coordinate system and a result of the object being rendered as the 3D object of 2D displaying in the plane coordinate system. The rendering device enables intuitive drawing with high accuracy in the virtual reality space.

Abstract: A spatial position indication system includes an electronic pen, an indicated position detecting circuit, a spatial position detecting circuit, and a selecting circuit. The indicated position detecting circuit detects a position of the electronic pen at an input surface or a hover region over the input surface. The spatial position detecting circuit detects the position of the electronic pen in a spatial region including at least a part of the hover region separately from and independently of the indicated position detecting device circuit. Based on output from the indicated position detecting circuit and the spatial position detecting circuit, the selecting circuit performs selection control so as to use output from the indicated position detecting circuit or the spatial position detecting circuit according to a separation distance of the electronic pen from the input surface when a drawing image to be displayed on a display device is generated.

Abstract: An information processing system for adjusting a parameter related to an analysis pipeline for various validation methods is provided. An analysis pipeline adjustment system includes an initialization unit (110) and an adjustment unit (150). The initialization unit (110) receives an input of a validation module that generates an analysis pipeline model and calculates an evaluation value by using an input analysis pipeline in accordance with a predetermined validation method, and outputs the generated analysis pipeline model and the calculated evaluation value. The adjustment unit (150) searches for, within a search range of a parameter set and in accordance with a predetermined search method, a value of the parameter set for which the evaluation value is optimized by inputting to the validation module the analysis pipeline to which a value of the pipeline parameter is applied and executing the validation module.

Abstract: In a distributed processing device, there are provided: a collective communication means in which at least one activated process executes a local collective communication among a plurality of processes within one process group among a plurality of process groups generated by partitioning the plurality of processes by a first partitioning pattern; and a communication control means for selecting, after the local collective communication, a second partitioning pattern different from the first partitioning pattern used in the local collective communication and allowing the collective communication means to execute a next local collective communication using data based on a result of the local collective communication among a plurality of processes within one process group among a plurality of process groups generated by partitioning the plurality of processes by the second partitioning pattern.

Abstract: Provided are a leave of absence prediction system and the like capable of predicting whether an employees, etc. will take a leave of absence in a predetermined time.

Abstract: A model estimation device 100 includes a hidden variable variational probability calculation processing unit 104 for acquiring parameters of a hidden variable model and calculating a constrained hidden variable variational probability as a hidden variable posterior probability close to a previously-given distribution by use of the parameters, a model parameter optimization processing unit 105 for optimizing the parameters of the hidden variable model by use of the constrained hidden variable variational probability, and an optimality determination processing unit 106 for determining whether a marginalized log likelihood function using the optimized parameters is converged, wherein when it is determined that the marginalized log likelihood function is converged, the constrained hidden variable variational probability and the parameters used for the marginalized log likelihood function are output.

Abstract: An information processing device can determine, as a placement destination of object data, a storage location which is the most suitable for speeding up future processing which uses a plurality of pieces of data including the object data simultaneously, even when the object data is stored newly before use of it.

Abstract: In a distributed processing device, there are provided: a collective communication means in which at least one activated process executes a local collective communication among a plurality of processes within one process group among a plurality of process groups generated by partitioning the plurality of processes by a first partitioning pattern; and a communication control means for selecting, after the local collective communication, a second partitioning pattern different from the first partitioning pattern used in the local collective communication and allowing the collective communication means to execute a next local collective communication using data based on a result of the local collective communication among a plurality of processes within one process group among a plurality of process groups generated by partitioning the plurality of processes by the second partitioning pattern.

Abstract: Provided is a device of managing distributed processing, including: a selecting unit that estimates a total execution time on the basis of each of distributed-execution patterns indicating a grouping mode for plural computers and corresponding to the number of computers that are in charge of each of processes having different parameters in plural phases, this total execution time being necessary for the plural computers to execute the plural processes in a distributed manner, thereby selecting a distributed-execution pattern that makes the total execution time minimal, from among the distributed-execution patterns.

Abstract: A feature extraction device obtains a partial feature vector having the precision required for the partial document. The feature extraction device searches a document tree, and detects elements as search elements. The device calculates an inter-element distance between an extraction target element within elements of the document tree and the search element. The device refers to an exclusive element name and generates exclusivity information indicating, for the extraction target element, whether the search element is the exclusive element. The device calculates, based on an inter-element distance and the exclusivity information, a weight for a word included in the element, and relates and calculates, for each search element, based on weights, an element feature vector having each of dimensions that uniquely corresponds to a word. The device calculates based on the element feature vector, a partial document feature vector of a partial document related to the extracted target element.

Abstract: An information processing device can determine, as a placement destination of object data, a storage location which is the most suitable for speeding up future processing which uses a plurality of pieces of data including the object data simultaneously, even when the object data is stored newly before use of it.