Abstract: A lithium-ion rechargeable battery includes a negative electrode plate including a negative electrode substrate and a negative electrode mixture layer applied to the substrate, a positive electrode plate including a positive electrode substrate and a positive electrode mixture layer applied to the substrate, a separator arranged between the negative electrode plate and the positive electrode plate, and a non-aqueous electrolyte. The negative electrode substrate includes a negative electrode connection portion that projects from the negative electrode mixture layer in a first width direction. The positive electrode substrate includes a positive electrode connection portion that projects from the positive electrode mixture layer in a second width direction. The separator has a gas permeability that is greater at a portion facing an end of the positive electrode mixture layer in the second width direction than a portion facing an end of the positive electrode mixture layer in the first width direction.

Abstract: An information processing device, an information processing system, an information processing method, and a program capable of appropriately reducing the amount of information of an image are provided. An information processing device includes an image acquisitor, an information amount reduction degree determiner, and an information amount reducer. The image acquisitor acquires an image acquired by imaging an actual space. The information amount reduction degree determiner determines a degree of reduction of an amount of information on the basis of an attribute of a subject shown in the image. The information amount reducer generates information reduced data acquired by reducing at least a part of the amount of information of the image in accordance with the degree of reduction of the amount of information.

Abstract: An information processing device of an embodiment includes a feature quantity acquiring unit, a range estimating unit, an associating unit, an integrating unit, and an output unit. The feature quantity acquiring unit acquires a feature quantity extracted from data consisting of a plurality of values. The range estimating unit estimates a range of the data in which an element to which a predetermined label is to be assigned may be present from the acquired feature quantity. The associating unit associates each label with at least one of a plurality of feature quantities. The integrating unit performs integration processing of integrating one or more ranges of the data estimated from each of one or more feature quantities that are associated with the label into one range of the data. The output unit outputs a correspondence relationship between the label and the range of the data that has been subjected to the integration processing.

Abstract: An information processing apparatus according to an embodiment includes one or more hardware processors. The hardware processors obtain a first categorical distribution sequence corresponding to first input data and obtain a second categorical distribution sequence corresponding to second input data neighboring the first input data, by using a prediction model outputting a categorical distribution sequence representing a sequence of L categorical distributions for a single input data piece, where, L is a natural number of two or more. The hardware processors calculate, for each i of 1 to L, an inter-distribution distance between i-th categorical distributions in the first and second categorical distribution sequences. The hardware processors calculate a sum of L inter-distribution distances. The hardware processors update the prediction model's parameters to lessen the sum.

Abstract: An information processing apparatus according to one embodiment includes a memory and one or more hardware processors. The memory stores order information in which an order of pieces of meta-information for a character to be recognized is defined. The one or more hardware processors are connected to the memory and function as a recognition unit and an update unit. The recognition unit serves to perform character recognition on an image including a character string by using first meta-information specified from the pieces of the meta-information. The update unit serves to update the first meta-information to second meta-information. in accordance with the order information in a case when a confidence score of the character recognition satisfies a predetermined condition. The character recognition is performed by using the second meta-information.

Abstract: A model maintenance device according to an embodiment performs maintenance of a model for pattern recognition used in label estimation of target data for recognition. The model maintenance device includes a generating unit, an evaluating unit, and an updating determining unit. The generating unit generates a new model using learning data. The evaluating unit evaluates the performance of the new model using evaluation data classified into a first group, from among evaluation data classified into a plurality of groups, and calculates a first performance evaluation value; and evaluates performance of the new model using evaluation data classified into a second group, from among the evaluation data classified into a plurality of groups, and calculates a second performance evaluation value. Based on the first performance evaluation value and the second performance evaluation value, the updating determining unit determines whether or not the existing model should be updated with the new model.

Abstract: An information processing apparatus includes a hardware processor that stores intermediate data of a plurality of print jobs in a storage. The hardware processor is configured to perform, read first intermediate data of a first prim job; rasterize the read first intermediate data to generate print data; output the print data to an image forming apparatus; determine whether reading the first intermediate data allows extra, time in relation to a throughput of a print engine; determine whether reading second intermediate data of a second print job is a bottleneck of a printing time; and execute in parallel reading the first intermediate data and reading the second intermediate data, in response to a determination that the operation of reading the first intermediate data allows extra time in relation to the throughput of the print engine and a determination that reading the second intermediate data is a bottleneck of the printing time.

Abstract: According to one embodiment, an image-processing apparatus includes an output unit, a tracker, a storage controller, a setter, and an output controller. The tracker tracks a target object in one or more time-series images. The storage controller stores tracking information including a movement trajectory of the object in a predetermined storage. The setter sets a detection region for detecting passing through of the object based on the movement trajectory of the object, on the image, in accordance with a user's operation. An evaluator evaluates a setting mode for the detection region based on the tracking information stored in the predetermined storage and the detection region set by the setter. The output controller outputs the tracking information stored in predetermined storage, from the output unit, in an output mode based on an evaluation result of the evaluator.

Abstract: An information processing device according to an embodiment includes a determination unit and a first training unit. The determination unit determines whether an unlabeled data point whose class label is unknown is a non-targeted data point that is not targeted for pattern recognition. The first training unit trains a first classifier for use in the pattern recognition through semi-supervised learning using a first training dataset including unlabeled data determined not to be the non-targeted data and not including unlabeled data determined to be the non-targeted data.

Abstract: An information processing device, an information processing method, and a program capable of rejecting only a part of a series in a recognition process performed in units of series are provided. An information processing device includes a rejection class adding unit, a label sequence selecting unit, and an output unit. The rejection class adding unit adds a rejection class by acquiring a categorical distribution sequence formed by aligning a plurality of categorical distributions having scores for each class and acquiring a score of a rejection class on the basis of the categorical distribution for each of the categorical distributions included in the categorical distribution sequence.

Abstract: An information processing apparatus according to an embodiment includes one or more hardware processors. The hardware processors obtain a first categorical distribution sequence corresponding to first input data and obtain a second categorical distribution sequence corresponding to second input data neighboring the first input data, by using a prediction model outputting a categorical distribution sequence representing a sequence of L categorical distributions for a single input data piece, where, L is a natural number of two or more. The hardware processors calculate, for each i of 1 to L, an inter-distribution distance between i-th categorical distributions in the first and second categorical distribution sequences. The hardware processors calculate a sum of L inter-distribution distances. The hardware processors update the prediction model's parameters to lessen the sum.

Abstract: An information processing apparatus includes a hardware processor that stores intermediate data of a plurality of print jobs in a storage. The hardware processor is configured to perform, read first intermediate data of a first prim job; rasterize the read first intermediate data to generate print data; output the print data to an image forming apparatus; determine whether reading the first intermediate data allows extra, time in relation to a throughput of a print engine; determine whether reading second intermediate data of a second print job is a bottleneck of a printing time; and execute in parallel reading the first intermediate data and reading the second intermediate data, in response to a determination that the operation of reading the first intermediate data allows extra time in relation to the throughput of the print engine and a determination that reading the second intermediate data is a bottleneck of the printing time.

Abstract: In a case where a predetermined region to perform a next operation on an operation screen relative to a touch position onto a touch panel is made a destination, a guide device makes a force sense presenter generate a guide-use virtual force sense directed to the destination by using relative position information, received from a main body apparatus, up to the destination relative to the touch position.

Abstract: An information processing device, an information processing system, an information processing method, and a program capable of appropriately reducing the amount of information of an image are provided. An information processing device includes an image acquisitor, an information amount reduction degree determiner, and an information amount reducer. The image acquisitor acquires an image acquired by imaging an actual space. The information amount reduction degree determiner determines a degree of reduction of an amount of information on the basis of an attribute of a subject shown in the image. The information amount reducer generates information reduced data acquired by reducing at least a part of the amount of information of the image in accordance with the degree of reduction of the amount of information.

Abstract: In a case where a predetermined region to perform a next operation on an operation screen relative to a touch position onto a touch panel is made a destination, a guide device makes a force sense presenter generate a guide-use virtual force sense directed to the destination by using relative position information, received from a main body apparatus, up to the destination relative to the touch position.

Abstract: An information processing device according to an embodiment includes a determination unit and a first training unit. The determination unit determines whether an unlabeled data point whose class label is unknown is a non-targeted data point that is not targeted for pattern recognition. The first training unit trains a first classifier for use in the pattern recognition through semi-supervised learning using a first training dataset including unlabeled data determined not to be the non-targeted data and not including unlabeled data determined to be the non-targeted data.

Abstract: A model maintenance device according to an embodiment performs maintenance of a model for pattern recognition used in label estimation of target data for recognition. The model maintenance device includes a generating unit, an evaluating unit, and an updating determining unit. The generating unit generates a new model using learning data. The evaluating unit evaluates the performance of the new model using evaluation data classified into a first group, from among evaluation data classified into a plurality of groups, and calculates a first performance evaluation value; and evaluates performance of the new model using evaluation data classified into a second group, from among the evaluation data classified into a plurality of groups, and calculates a second performance evaluation value. Based on the first performance evaluation value and the second performance evaluation value, the updating determining unit determines whether or not the existing model should be updated with the new model.

Abstract: According to one embodiment, an image-processing apparatus includes an output unit, a tracker, a storage controller, a setter, and an output controller. The tracker tracks a target object in one or more time-series images. The storage controller stores tracking information including a movement trajectory of the object in a predetermined storage. The setter sets a detection region for detecting passing through of the object based on the movement trajectory of the object, on the image, in accordance with a user's operation. An evaluator evaluates a setting mode for the detection region based on the tracking information stored in the predetermined storage and the detection region set by the setter. The output controller outputs the tracking information stored in predetermined storage, from the output unit, in an output mode based on an evaluation result of the evaluator.

Abstract: According to an embodiment, an information processing device includes a classification unit, a calculation unit, a selection unit, and an allocation unit. The classification unit classifies unlabeled data into groups. The calculation unit calculates an evaluation value of each of the groups depending on label recognition accuracy of a group classifier for recognizing a label for unknown data, the group classifier being generated for each of the groups by using the unlabeled data belonging to the group. The selection unit selects the group based on the evaluation value. The allocation unit allocates a label corresponding to a correct label to the unlabeled data belonging to the selected group.

Abstract: Provided is a video generating device or the like capable of controlling a light source used to output an output image, said control being synchronized with the output image, without the addition of a control interface.