Abstract: There is provided a computer implemented method of detecting data drift for changing a machine learning (ML) model, comprising: monitoring a target input dataset for being fed into the ML model, extracting a plurality of target candidate features from the target input dataset, applying a feature selection process for selecting a target subset of the plurality of target candidate features, accessing a historical input dataset previously determined as being suitable for being fed into the ML model, extracting a plurality of historical candidate features from the historical input dataset, applying the feature selection process for selecting a historical subset of the plurality of historical candidate features, computing a comparison between the target subset and the historical subset, and in response to the comparison meeting a requirement indicating a significant difference between the target subset and the historical subset, generating an indication for changing the ML model.

Abstract: A distributed re-encryption apparatus comprises: a distributed re-encryption key storage part that stores shares obtained by secret-sharing a re-encryption key that re-encrypts a ciphertext into one encrypted with a different encryption key without decrypting the ciphertext; and a distributed re-encryption part that re-encrypts using the shares of the re-encryption key the ciphertext into one encrypted with a different encryption key without decrypting the ciphertext.

Abstract: There is provided a method of generating a reduced ML model, comprising: obtaining a sample dataset, extracting global features from the sample dataset, applying a feature selection process for selecting a first subset of the global features, analyzing a classification performance of the ML model fed the first subset, to identify an error in classification by the ML model, identifying a subset of the sample dataset related to the error, extracting second features from the subset of the sample data, applying the feature selection process for selecting a second subset of the second features, and creating a reduced version of the ML model, comprising an ensemble of: a first ML model component trained by applying the first subset of global features to the sample dataset, and a second ML model component trained by applying the second subset of features to the subset of the sample data related to the error.

Abstract: A store-entry management apparatus (100) includes: an output control unit (102) that causes, when a human detection sensor installed at an entrance of a store detects a person, an output unit (80) provided at the entrance to output voice guidance of a store-entry method; an acquisition unit (104) that acquires authentication information for authenticating a person from a terminal provided at the entrance; and an opening/closing control unit (106) that unlocks and opens a door of the entrance when the acquired authentication information satisfies a reference, wherein the output control unit (102) decides whether the voice guidance is needed by using a detection result of the human detection sensor before the authentication information is acquired, and controls an output of the voice guidance.

Abstract: Provided are an information processing apparatus, an information processing method, and a storage medium that can accurately guide facilities or services which are available to a user who is scheduled to take a transportation. An information processing apparatus includes: a registration unit that registers a status of a user scheduled to board on a transportation related to boarding acquired by a boarding procedure and biometric information of the user acquired during the boarding procedure in association with each other; and a generation unit that generates guide information related to a facility or a service available to the user guided by an information processing terminal according to the status of the user, who is identified by matching of target biometric information which is biometric information acquired by the information processing terminal for one user, and registered biometric information which is the biometric information registered by the registration unit.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: An apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: obtain a first image including one or more faces captured at a first time by one or more cameras, each of the one or more faces corresponding to a person, among one or more persons; detect a first person, among the one or more persons, by performing facial recognition operation on the one or more faces in the image obtained from the camera; detect a body region corresponding to a face region of the first person; track the body region in a second image captured by the one or more cameras at a second time subsequent to the first time; and output information to control a bather to open based on a determination that the body region is approaching the barrier.

Abstract: The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images.

Abstract: A dangerous scene prediction device 80 for predicting a dangerous scene occurring during driving of a vehicle includes a learning model selection/synthesis unit 81 and a dangerous scene prediction unit 82. The learning model selection/synthesis unit 81 selects, from two or more learning models, a learning model used for predicting the dangerous scene, depending on a scene determined based on information obtained during the driving of the vehicle. The dangerous scene prediction unit 82 predicts the dangerous scene occurring during the driving of the vehicle, using the selected learning model.

Abstract: An image-capturing plan creating device comprises an image-capturing plan creating unit and a condition establishing unit. The image-capturing plan creating unit is configured to create an image-capturing plan based on image-capturing target information related to image-capturing targets and of image-capturing device information related to image-capturing devices. The condition establishing unit is configured to establish conditions for recreating parts of the created image-capturing plan based on the contents of changes to the created image-capturing plan. The image-capturing plan creating unit is further configured to recreate the parts of the created image-capturing plan based on the established conditions.

Abstract: An imaging system (10) includes: iris imaging means (1) for photographing an iris of a subject; first irradiation means (2a) for applying light to the subject; and second irradiation means (2b) for applying light to the subject in such a manner that an angle between an optical axis of the light emitted from the second irradiation means (2b) and an optical axis of the iris imaging means (1) is larger than an angle between an optical axis of the light emitted from the first irradiation means (2a) and the optical axis of the iris imaging means (1).

Abstract: An image management apparatus (2000) acquires a target image (10) acquired by capturing an image of a target object (12). The image management apparatus (2000) determines, from among master information (20), a master image (24) whose degree of similarity to the target image (10) is high. The image management apparatus (2000) compares suitability as a master image between the target image (10) and the determined master image (24) (a similar master image), and updates the master information (20), based on a comparison result. Specifically, the image management apparatus (2000) adds the target image (10) to the master information (20) as a master image when the target image (10) has higher suitability. Further, in this case, the image management apparatus (2000) deletes the similar master image from the master information (20), or assigns, to the target image (10), a higher degree of priority than a degree of priority assigned to the similar master image.

Abstract: An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition.

Abstract: A management apparatus is configured to determine whether or not distribution of status information representing a wireless communication status in a public wireless system including at least one wireless station that executes wireless communication with a wireless terminal is necessary. The distribution is a distribution to a mobile communication terminal via a mobile communication system that provides a mobile communication service to the mobile communication terminal. The management apparatus is configured to transmit, when it is determined that the distribution is necessary, a request to the mobile communication system to set a dedicated fixed channel in a public communication network used in the mobile communication system. The dedicated fixed channel is fixed exclusively for the public wireless system.

Abstract: An information processing apparatus (2) includes: a reducing unit (211) that generates a second image (IMG2) by reducing a first image (MGI) in which a target object is included; a first extracting unit (212) that extracts, as a first key point, a key point (KP) of the target object from the second image; a setting unit (213) that sets a target area (TA) that designates a part of the first image based on the first key point; and a second extracting unit (214) that extracts, as a second key point, a key point of the target object from a target image (IMG1 TA) of the first image that is included in the target area.

Abstract: The client includes a random number generation unit which generates a random number, a concealed information storage unit which stores concealed information generated by concealing registered information and the generated random number using a secret key, and a response computation unit which, on the basis of a challenge transmitted from the server, the collation information input for collation with the registered information, and the concealed information, computes a response corresponding to the challenge and including a concealed index, generated by concealing an index indicating closeness between the registered information and the collation information. The server includes a challenge generation unit which generates the challenge using a public key corresponding to the secret key, and a determination unit which uses the public key and the random number transmitted from the client to determine whether or not the response transmitted from the client corresponds to the challenge.

Abstract: A position and pose determination unit (103) is configured to determine a position and an pose of the video acquisition unit (110) in such a way that a level of hiding caused by overlapping of objects becomes low based on environmental object information indicating an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, and staying characteristic information indicating a staying characteristic of the object determined depending on the environmental object. The analysis and display unit (111) is configured to perform at least one of analyzing a video captured by the video acquisition unit (103) at the position and the pose determined by the position and pose determination unit (110) and displaying the video.

Abstract: A position detection device includes a transmitter that transmits an optical pulse into an optical transmission line laid along the movement path of a moving body; a detector that detects back-scattered light in the optical transmission line; a data processor that calculates the intensity of the back-scattered light and the generation position of the back-scattered light; a storage in which the processing results of the data processor are saved; a search range derivation circuit that derives a search range for the position of the moving body; a maximum value extraction circuit that extracts the generation position at which the variation of intensity within the search range is at a maximum, and causes the extracted generation position to be saved in the storage; and an output circuit that outputs the extraction result.

Abstract: Provided is an anomaly detection apparatus 10 capable of detecting anomalies of processing results. The anomaly detection apparatus 10 estimates first processing result information in accordance with first processing, using data regarding a target, compares second processing result data, for the data, obtained by second processing that differs from the first processing with the first processing result information, and detects an anomaly of the second processing according to the comparison result.

Abstract: A method for transmitting data is provided. The method includes sending a probing packet using a scanning beam selected from a set of probing beams. The method further includes receiving feedback about the probing packet. The method also includes determining a data transmission beam based on the set of probing beams and the received feedback. The method additionally includes transmitting data using a multi-element antenna that is configured according to the determined data transmission beam.