6 results about "Superclass" patented technology

Systems and methods are provided for generating modular, more explainable machine learning data structures. The system can comprise two main phases, including setting up the system during a constructing phase and utilizing the system during an inference / prediction phase. During the constructing phase, the system may generate an ontology that identifies features and structural constraints of the features, as well as a superclass based on the ontology. During the inference / prediction phase, a new input image is received and compared with features and constraints defined in the ontology. Based on the comparison, the system can generate an identification of the superclass for the new input image, explain why the input corresponds with the superclass, identify any features that are missing in order for the input to correspond with the superclass, and provide the explanation and input to a display / interface.

A method (100) for generating configuration information (2a) for performing a configuration task of a piece (1) of industrial equipment, and / or instructions (2b) how to perform a configuration task (3) on a piece (1) of industrial equipment, comprising the steps of: obtaining (110) a query (4) that is indicative of the configuration task (3); selecting (120), based on the query (4), from a repository (5) of technical documentation covering the type of the piece of industrial equipment, and / or a superclass of this type, at least one documentation portion (5a) that is pertinent to the query (4); obtaining (130) at least one existing configuration file (6) for the concrete piece (1) of industrial equipment, and / or for a piece (1) of industrial equipment of the same or a sufficiently similar type and / or superclass; providing (140) at least the selected documentation portion (5a) and the existing configuration file (6) to a generative machine learning model, GMLM (7), as inputs (7a); and generating (150) the sought configuration information (2a), and / or the sought instructions (2b), from the output (7b) of the GMLM (7).

This invention relates to a method, apparatus, and medium for recognizing long-tailed oracle bone script based on hierarchical structure and multimodal fusion. The method includes: constructing an oracle bone script image dataset; generating a superclass-subclass tree structure of oracle bone script using a self-supervised model combined with the Ward linking criterion; generating visual descriptions of each oracle bone script category using a large language model; constructing a pure visual hierarchical recognition model, constraining the superclass-subclass prediction logic through a hierarchical consistency loss function, and filtering irrelevant fine-grained categories using a winner-takes-all strategy; constructing a multimodal recognition model, freezing the parameters of the pure visual hierarchical recognition model, obtaining the superclass prediction result and retrieving the corresponding visual description from the multimodal knowledge base, inputting the input image, task instructions, and retrieval results introduced based on a random corpus injection strategy into the multimodal recognition model, and outputting the subclass classification result; obtaining the image to be recognized, inputting it into the pure visual hierarchical recognition model to obtain the superclass prediction result, and then inputting it along with the task instructions into the multimodal recognition model to obtain the subclass prediction result. Compared with the prior art, this invention has the advantages of effectively solving the problems of extreme long-tailed distribution, feature space collapse, and misjudgment of visually similar characters in oracle bone script recognition.

A method for use in a computing device, the method comprising: obtaining an event object; identifying a class that is associated with the event object; identifying an inheritance hierarchy that is associated with the class, the inheritance hierarchy including one or more superclasses that are inherited, directly or indirectly, by the class associated with the event object; for the class associated with the event object and each of the superclasses, identifying a respective set of observer methods, each of the observer methods being an observer method that accepts the event object as an argument; invoking each of the observer methods in any of the sets by using of the event object as an input parameter, each of the observer methods being invoked by using reflection.

A method of interpreting superclass behavior in dynamic language computer code includes generating a first code object including a first class of a plurality of classes defined by a common superclass in code of application in a dynamic programming language, generating a second code object including a second class of the plurality of classes defined by the common superclass and generating an analyzable dynamic language computer code including the first code object and the second code object. The method further includes resolving an attribute in the analyzable dynamic language computer code for each of the first code object and the second code object, performing a comparison of the attribute resolved for the first code object and the second code object, and identifying a deviation in behavior of the first class or the second class based on the comparison of the first attribute and the second attribute.

In one implementation, a device receives a superclass and an image specified via a user interface. The device identifies subclasses of the superclass using a language model. The device generates, for each of the subclasses, subclass image masks for the image. The device forms an ensemble segmentation mask for the image based on the subclass image masks that represents the superclass.