Abstract:
An information processing unit includes: a diagnostic image input section that inputs the diagnostic image; an operation information obtaining section that obtains display operation history information representing an operation history of a user who controls displaying of the diagnostic image; a query image generation section that extracts a predetermined region of the input diagnostic image to generate a query image; a diagnosed image obtaining section that supplies the generated query image and the display operation history information to a diagnosed image search unit and obtains the diagnosed image obtained as a search result by the diagnosed image search unit; and a display control section that displays the diagnostic image and the obtained diagnosed image for comparison.
Abstract:
There is provided an information processing apparatus that can perform learning of a neural network more efficiently, the information processing apparatus including: an acquisition section configured to acquire a semantic network, identification information of data, and a label; and a learning section configured to learn a classification model that classifies the data into the label, on a basis of the semantic network, the identification information, and the label that have been acquired by the acquisition section.
Abstract:
There is provided an information processing device to improve generalization performance of the neural network, the information processing device including: a control unit configured to control display related to a setting of a parameter related to physical simulation; a communication unit configured to transmit the parameter to a physical simulator and receive image information obtained in the physical simulation from the physical simulator; and a machine learning unit configured to perform machine learning on the basis of the image information. The control unit causes a display unit to display a learning result obtained by the machine learning unit and the parameter in association with each other.
Abstract:
Provided are an apparatus and a method enabling efficient reinforcement learning to be performed by input of an annotation. Included are a database configured to store respective pieces of information of a state, an action, and a reward of a processing execution unit, a learning execution unit configured to execute learning processing in accordance with a reinforcement learning algorithm to which the information stored in the database is applied, and an annotation input unit configured to input annotation information including sub reward setting information and store the annotation information in the database. The learning execution unit executes learning processing to which the respective pieces of information of the state, the action, and the reward input from the processing execution unit and the sub reward setting information are applied, derives an action determination rule, and determines an action which is caused to be executed in accordance with the action determination rule.
Abstract:
[Object] To prevent an observer from feeling discomfort when an image is displayed by enlarging and scrolling.[Solving Means] A display control apparatus that is a first aspect of the present disclosure includes: an acquisition unit that obtains an input image; and a display control unit that displays the input image on a screen by scrolling the input image along a predetermined scroll line, the display control unit displaying the input image by scrolling the input image along the scroll line different according to a scroll speed that is a speed in the scrolling. The present disclosure can be applied to, for example, a case where a medical image is diagnosed.
Abstract:
An information processing unit includes: a diagnostic image input section that inputs the diagnostic image; an operation information obtaining section that obtains display operation history information representing an operation history of a user who controls displaying of the diagnostic image; a query image generation section that extracts a predetermined region of the input diagnostic image to generate a query image; a diagnosed image obtaining section that supplies the generated query image and the display operation history information to a diagnosed image search unit and obtains the diagnosed image obtained as a search result by the diagnosed image search unit; and a display control section that displays the diagnostic image and the obtained diagnosed image for comparison.
Abstract:
An information processing apparatus according to an embodiment of the present technology includes a determination unit and a calculation unit. The determination unit determines whether an anticipation region exists on a planned route of a target mobile object that is a control target, the anticipation region being a region in which a specific traffic state is anticipated. With respect to the anticipation region determined to be on the planned route, the calculation unit calculates a movement plan of the target mobile object on the basis of movement information related to movement of another mobile object having passed through the anticipation region.
Abstract:
There is provided an information processing apparatus and an information processing method allowing variations of scenes of various events to be realized in a simulator environment simulating the real world. A reward providing unit provides rewards to a first agent and a second agent taking action in the simulator environment and learning an action decision rule according to the reward for the action. The first agent is provided with the reward in accordance with a prescribed reward definition. The second agent is provided with the reward in accordance with an opposing reward definition opposing the prescribed reward definition, the opposing reward definition causing a resultant reward to be increased in a case where the second agent acts to bring about a situation where the reward for the first agent is reduced and causing a resultant reward to be reduced in a case the reward for the first agent is increased.
Abstract:
There is provided a learning apparatus and a learning method that allow a reinforcement learning model to be easily corrected on the basis of user input. A display control section causes a display section to display reinforcement learning model information regarding a reinforcement learning model. A correcting section corrects the reinforcement learning model on the basis of user input to the reinforcement learning model information. The present disclosure can be applied to, for example, a personal computer (PC) and the like that correct a reinforcement learning model on the basis of input from a user and perform reinforcement learning of a movement policy of an agent using the corrected reinforcement learning model.