61 results about "Parametric transformation" patented technology

Methods, systems, and articles of manufacture for viewing annotations created for data objects appearing in a data source using a second application configured to access and view the data source. Some embodiments present users viewing a data source with an indication of data objects in the data source that have been by other applications accessing the data source. An annotation system may use a mapping component to transform a set of parameters suitable for the first application to identify an annotated data object into a set of parameters suitable for the second application to view an annotated data object in a common data source.

A method and system for modeling an integrated circuit. The method includes converting a representation of the integrated circuit into design shapes of design levels of a design of the integrated circuit; adding control shapes to the design, the control shapes not defining any physical part of the integrated circuit; extracting layout-dependent stress parameters of the devices from the design levels of the design based on the control shapes and the design shapes; converting the layout-dependent stress parameters to stress parameters using a stress algorithm; generating stressed device parameters from the stress parameters using a compact model; and simulating performance of the integrated circuit using the stressed device parameters in a simulation model of the integrated circuit design.

An avionics interface data adaptation conversion system disclosed by the invention is few in computing resources, high in running speed and high in test efficiency, and is realized through the following technical scheme: selecting a man-machine operation interface unit to be read by the interior of the system and converted into an internal source code, sealing a conversion function for realizing parameter conversion between ICDs in a framework of the system, and displaying a mapping relation existing in the mapping project; enabling the ICD mapping project unit to store the ICD mapping scheme as a project file in an XML format; and enabling the ICD conversion code generation unit to convert an ICD mapping relation contained in an ICD mapping project file in the ICD mapping project unit into a source code, achieving parameter conversion between ICDs in a function mode, enabling the ICD conversion code editing window unit to directly edit received binary data in a code editing window according to a message name, converting element relations, establishing a relative mapping relationship, and outputting a conversion result by the interface data conversion system.

The invention relates to the data processing technology, and provides a parameter conversion method and a device based on a rule engine, computer equipment and a storage medium, and the method comprises the steps: obtaining a target parameter conversion rule corresponding to a rule publishing instruction when the rule publishing instruction is received; analyzing the target parameter conversion rule to obtain a target parameter set; inputting the target parameter set into a pre-trained link calculation model to obtain an optimal execution link; receiving and analyzing the parameter conversion request to obtain a target interface parameter corresponding to the parameter conversion request; calling the optimal execution link according to the target interface parameter to obtain a parameter conversion result; and outputting the parameter conversion result. The method can improve the parameter conversion efficiency, and promotes the quick development of a smart city.

The information processing apparatus (2000) of the example embodiment 1 includes an acquisition unit (2020), a clustering unit (2040), a transformation unit (2060) and modeling unit (2080). Until a predetermined termination condition is determined, the clustering unit (2040) repeatedly preforms: 1) optimizing the posterior parameters for clustering assignment for each data streams; 2) optimizes the posterior parameters for each determined cluster and for each time frame; 3) optimizes the posterior parameters for individual responses for each data stream; 4) optimizes the posterior parameters for latent states, via approximating the observation model through non-conjugate inference. The transformation unit (2060) transforms the latent states into parameters of the observation model, through a transformation function. The modeling unit (2060) generates the model data, which including all the optimized parameters of all the model latent variables, optimized inside the clustering unit (2040).

The invention discloses a system (1) for processing images (4) comprising a main neural network (2), preferably convolution-based (CNN), and at least one preprocessing neural network (6), preferably convolution-based, upstream of the main neural network (2), for carrying out before processing by the main neural network (2) at least one parametric transformation f, differentiable with respect to its parameters, this transformation being applied to at least part of the pixels of the image and being of the form P' = f(V(p), Theta) where p is a processed pixel of the original image or of a decomposition of this image, p' the pixel of the transformed image or of its decomposition, V(p) is a neighborhood of the pixel p, and Theta is a vector of parameters, the preprocessing neural network (6) having at least part of its learning be performed simultaneously with that of the main neural network (2).

An embodiment of the present application provides a matching and screening method, device, electronic device, and computer-readable storage medium. The matching and screening method includes: the electronic device obtains an initial matching set, and the initial matching set is derived from an initial matching result between image pairs; At least one clipping module selects a matching subset from the initial matching set, the correct matching ratio in the matching subset is higher than the correct matching ratio in the initial matching set, and at least one clipping module is used to obtain the consistency of each initial matching in the initial matching set sex information; this matching subset is used to process image tasks associated with image pairs. The embodiment of the present application can improve the processing effect of the parametric transformation model processing image task.

The invention discloses a seven-parameter conversion method between a national three-dimensional coordinate system and a random local plane coordinate system. The seven-parameter conversion method between the national three-dimensional coordinate system and the random local plane coordinate system aims at the problems that an existing algorithm cannot directly obtain a high-precision single seven-parameter conversion parameter, and further the achievements of a local coordinate system cannot be obtained in real time based on CORS measured data, and provides a seven-parameter convention model to which addition constants are additionally added. According to the method, through a series of data processing methods, the additionally added addition constants greatly decrease the influence of projection deformation; the influence of a geodetic height on parameter solving precision, and the like are decreased through a three-parameter conversion model; the precision of a conversion parameter is greatly improved; moreover, the method accords with the requirement that a measurement handbook in the current market can only accept single four / seven-parameter input; the achievements of a national coordinate system, which are obtained through measurement based on a CORS network, can be converted into the achievements of the local coordinate system in real time; in this way, the expansion of the application spaces of provincial and municipal CORSs in a measurement practice process is facilitated.