31results about How to "Probability is accurate" patented technology

A traveling environment recognition device capable of accurately recognizing a traveling environment of a vehicle. An occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the occupancy grid map is generated, and the occupancy probability for each cell is updated according to Bayesian inference. More specifically, for each cell of the occupancy grid map, the occupancy probability calculated from information from a radar device, the occupancy probability calculated from information from a communication device, and the occupancy probability calculated from information from a storage device that stores map data are blended to provide an occupancy probability of the obstacles to traveling of the own vehicle, which leads to more accurate traveling environment recognition.

A computer-implemented method for providing a candidate list of alternatives for a text selection containing text from multiple input sources, each of which can be stochastic (such as a speech recognition unit, handwriting recognition unit, or input method editor) or non-stochastic (such as a keyboard and mouse). A text component of the text selection may be the result of data processed through a series of stochastic input sources, such as speech input that is converted to text by a speech recognition unit before being used as input into an input method editor. To determine alternatives for the text selection, a stochastic input combiner parses the text selection into text components from different input sources. For each stochastic text component, the combiner retrieves a stochastic model containing alternatives for the text component. If the stochastic text component is the result of a series of stochastic input sources, the combiner derives a stochastic model that accurately reflects the probabilities of the results of the entire series. The combiner creates a list of alternatives for the text selection by combining the stochastic models retrieved. The combiner may revise the list of alternatives by applying natural language principles to the text selection as a whole. The list of alternatives for the text selection is then presented to the user. If the user chooses one of the alternatives, then the word processor replaces the text selection with the chosen candidate.

This disclosure concerns image quality assessment. In particular, there is described a computer implemented method, software, and computer for assessing the quality of an image. For example but not limited to, quality of the image of a face indicates the suitability of the image for use in face recognition. The invention comprises determining (112) a similarity of features of two or more sub-images of the image (608) to a model (412) of the object which is based on multiple training images (612) of multiple different objects of that type. The model (412) is comprised of sub-models (406) and each sub-model (406) corresponds to a sub-image of the image (608). Determining similarity is based on the similarity of features of each sub-image to features modelled by the corresponding sub-model. It is an advantage that no input parameters are required for quality assessment since the quality of the image can be determined from only the similarity between the image and the same, therefore single generic, model.

A metamerism-reducing color transformation in which a color value in a perceptual color space is mapped to a corresponding color value in a device dependent color space. Multiple different inverse transforms are applied to the color value in the perceptual color space, one each for respective ones of multiple different viewing conditions such as different viewing illuminants or different surround, thereby resulting in plural different target color values in a viewing condition dependent space. The plural different target color values in the viewing condition dependent space are subjected to regression analysis based on a spectral model of reflectance of device colors so as to calculate to a single color coordinate in device dependent coordinates that best fits the plural different target color values in the viewing condition dependent space. The regression analysis may be a weighted regression analysis. Because the color value in the destination device dependent color space is obtained through best-fit regression analysis of plural different target color values corresponding to multiple different viewing conditions, metameric shifts in the color's appearance due to changes in viewing condition are significantly reduced as compared to transformations which obtain values accurate only for a single viewing condition.

An algorithm for deducing all possible scenarios of satellite members and possibilities thereof in a low earth orbiting (LEO) satellite constellation is described, which is achieved mainly by relying on the spherical geometry analysis and probabilities and statistics technologies, in an attempt to rapidly and precisely obtain the concerned scenarios and possibilities thereof observed on the earth ground. With any user-defined orbital parameters and a position of an observation station for the scenarios on the earth ground inputted, all the possible scenarios and possibilities thereof can be obtained with the algorithm.

Provided are a health management system of estimating a disease probability of a user based on information collected from the user and a method of providing health information by using the health management system. The health management system includes a user device collecting and providing health data and living data of a user and a health information processing device calculating a disease probability of the user by performing statistic analysis based on an electric medical record and the health data and correcting the calculated disease probability according to the living data. The living data includes one of location information of the user and social information of the user, which designates a human connection.

A lottery ticket has a covering scratch-off coating applied over at least part of a game area, including game data applied over an ink layer including a lily pad. A detectable taggant additive material is admixed in an ink of the ink layer having the characteristic of being detectable by a detection scanner when applied over the substrate where the covering scratch-off coating masks the ability of the detection scanner to detect the detectable taggant additive material through the covering scratch-off coating. The scanning of the game area is used to detect areas where the scratch is removed in order to confirm that the game has been played or to detect patterns of removal in a probability type game.

A method includes: obtaining process technology definition data related to a process technology of each layer forming the basic cell, from a process technology definition file defining process technology definition data related to a process technology for use in fabricating a semiconductor integrated circuit, thereby holding a process technology definition table; obtaining device structure data including data related to a device template which defines a structure of each layer of the basic cell and data related to the structure of the layer defined in accordance with the device template, from a device structure definition file, thereby holding the obtained device structure data as a device structure definition table; and determining the structure of each layer defined in accordance with the device template held as the obtained device structure data, thereby generating the layout pattern of the basic cell forming the semiconductor integrated circuit.

A speech recognition and natural language understanding system performs insertion, deletion, and replacement edits of tokens at positions with low probabilities according to both a forward and a backward statistical language model (SLM) to produce rewritten token sequences. Multiple rewrites can be produced with scores depending on the probabilities of tokens according to the SLMs. The rewritten token sequences can be parsed according to natural language grammars to produce further weighted scores. Token sequences can be rewritten iteratively using a graph-based search algorithm to find the best rewrite. Mappings of input token sequences to rewritten token sequences can be stored in a cache, and searching for a best rewrite can be bypassed by using cached rewrites when present. Analysis of various initial token sequences that produce the same new rewritten token sequence can be useful to improve natural language grammars.

The invention provides a power system transient risk evaluation method taking natural disasters into consideration. The method comprises the following steps: determining element damage probabilities when the natural disasters are considered; determining preliminary fault sets, and classifying the preliminary fault sets; and carrying out transient risk evaluation on a power system. According to the invention, the disasters in a region are classified, multiple disaster faults in the region can be comprehensively considered, the element probabilities can be more accurate, the severity of random combination faults can be rapidly calculated, important faults are prevented from being neglected due to a restriction of a calculation amount, and the method can be applied to an actual power grid and facilitates solution of actual problems.

The invention provides a game log based user gender determination method and system. Different from an existing method, the game log based user gender determination method is characterized in that game gender polarity is introduced, and user gender is speculated through a weighting method; the game gender polarity can be directly acquired by making statistics of a specific name of a user use game, and user gender accuracy measured according to the game gender polarity is quite high; model mining performed on existing user information construction data is not needed, special training on the model is omitted, the gender of a corresponding user can be accurately acquired through simple statistics and calculation, use of complex models is avoided, and excessive system cost is avoided; with the method, the user can be accurately subjected to user group positioning with low cost by a game operator through log information, the game is pushed in a targeted manner, and running cost is greatly reduced; meanwhile, user experience can be enhanced.

A computer-implemented method for detecting anomalies in sensor recordings of a technical system. The method including: ascertaining a first anomalous value which, with regard to all sensor recordings, characterizes whether or not an anomaly is present; ascertaining a plurality of second anomalous values, a second anomalous value from the second anomalous values corresponding to a sensor recording, and the second anomalous value, with regard to the sensor recording and under the condition of the occurrence of the other sensor recordings, characterizing whether or not an anomaly is present in the sensor recording; detecting an anomaly in a sensor recording of the sensor recordings if the first anomalous value characterizes the presence of an anomaly, and the second anomalous value corresponding to the sensor recording characterizes an anomaly, and the second anomalous value differs beyond a predefined extent from other second anomalous values of the second anomalous values.

The invention discloses a molecular fragment library determination method and device and molecular segmentation method and device. The molecular fragment library determination method comprises the steps: acquiring a molecular data set; cutting molecules in the molecular data set to obtain a plurality of molecular fragments and an initial segmentation probability of each molecular fragment; updating the initial segmentation probability of each molecular fragment according to a preset algorithm to obtain a target segmentation probability of the molecular fragment; and determining a set of molecular fragments of which the target segmentation probabilities meet a preset condition as a molecular fragment library. According to the method, the molecules in the molecular data set are segmented to obtain the multiple molecular fragments and the corresponding initial segmentation probabilities, and the initial segmentation probabilities are updated by using the preset algorithm, so that the obtained probabilities of the molecular fragments are more accurate, and thus, the molecules are conveniently segmented by using the molecular fragment library.