90results about How to "Lower confidence" patented technology

A method for classifying input provided to a digitizer sensor includes sampling output over one or more sampling periods, identifying a location of intentional input to the digitizer sensor from the output sampled over the one or more sampling periods, identifying an area of potential palm input based on the identified location of the intentional input, and classifying output detected in the area of the potential palm input as output potentially obtained from undesired input to the digitizer sensor. The area of potential palm input is defined to have a defined spatial relation to the location of the intentional input. The output classified is sampled over one or more sampling periods other than the one or more sampling periods from which the area of potential palm input is identified.

An ambulatory medical device including a plurality of electrodes configured to be disposed at spaced apart positions about a patient's body, an electrode signal acquisition circuit, and a monitoring circuit. The acquisition circuit has a plurality of inputs each electrically coupled to a respective electrode of the plurality of electrodes and is configured to sense a respective signal provided by a plurality of different pairings of the plurality of electrodes. The monitoring circuit is electrically coupled to an output of the acquisition circuit and is configured to analyze the respective signal provided by each of the plurality of different pairings and to instruct the acquisition circuit to select at least one of the plurality of different pairings to monitor based on at least one of the quality of the respective signal, a phase difference between the respective signal and that of other pairings, a position of electrodes relative to the patient's body, and other criteria.

Methods for guiding user moderation at a topic page by confidence levels includes presenting a topic page in response to a query. The topic page includes a plurality of modules with content that match the query. The topic page is associated with a confidence level and with one or more page attributes that define the characteristics of the topic page and the modules included therein. One or more modifications to the topic page are received as part of customization of the topic page. The modifications include a plurality of page attributes that define the modification and a plurality of user attributes of a user performing the modification. The modifications are evaluated based on the page attributes and user attributes including confidence levels associated with the topic page and the user. The modifications are implemented based on the evaluation. The implemented modifications enhance the quality and confidence level of the topic page.

A method and system for rating programs, the method including, receiving a sample of viewing logs from a plurality of set top boxes (STBs), determining, from the sample of viewing logs, at least groups of viewers sharing similar interests, and groups of programs sharing similar audience, computing time dynamics of rating distribution for the groups of viewers and the groups of programs, and incorporating at least one of the following into broadcast metadata: the time dynamics of rating distributions of the groups of viewers for each of the groups of programs, rating distributions of the groups of viewers for each of the groups of programs marginalized by time, rating distributions of the groups of viewers for each program marginalized by time, relative sizes of each group of viewers, and a mapping of each program to groups of programs, thereby making the broadcast metadata available to the plurality of STBs for use in computing ratings. Related systems and methods are described.

The invention discloses a Faster RCNN target detection method based on refractory sample mining. The method comprises the steps of 1, image target detection based on deep learning; 2, on the basis ofan online sample mining method, adjusting and setting adopted key parameters as follows: step 3, negative difficult-to-distinguish sample mining: on the basis of a difficult-to-distinguish sample, adjusting a mini-formed by an RPN in training; wherein the ratio of the positive sample to the negative sample of the bch is 1: 3; and step 4, removing redundant frames to avoid loss of multiple calculations. An improved non-maximum suppression algorithm is adopted to reasonably remove redundancy from a suggestion box generated by an RPN layer network. Under the condition that samples are not expanded. The definition of negative samples is broadened, and more samples difficult to train are mined online through the samples. The ratio of positive samples to negative samples is set, and rare sampleswith the maximum loss and difficult training are reasonably and simply calculated; and the loss of classification and frame regression is balanced, so that the continuous reduction of training loss can be met.

The invention provides a vehicle information matching method and system, and a monitoring device. The method comprises the steps: obtaining first information of electronic license plates of one or more vehicles and second information of physical license plates in a certain time period; judging whether there is second information accordance with certain first information or not; determining that the vehicle information matching of a vehicle corresponding to the first information is successful if there is the second information accordance with certain first information, or else, carrying out fuzzy matching of the first information with the unsuccessfully matched second information in the vehicle information. In other words, the method and system still can correct the second information in a fuzzy matching mode under the conditions that an external environment is severe (strong light, misty rain, or poor light), or a physical license plate cannot be recognized because the physical license plate is polluted or shaded (inaccurate second information of the physical license plate) and there is wrong recognition, and improve the accuracy of vehicle information recognition.

A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that may be processed to identify frequent sets therein. When association rules are generated from such frequent sets, the complexity and / or quantity of such rules may be managed by removing redundancies from the rules, such as by removing rules providing only trivial associations, removing rules having only a part group as the consequent, modifying rules to remove redundant antecedent items and / or filtering subsumed rules from the generated rule set that do not provide sufficient lift to meet an adjustable specialization lift threshold requirement.

The invention provides a vehicle identification method and a vehicle identification device. The method includes the following steps that: whether first information contained in the electronic license plate of a vehicle is matched with second information contained in the physical license plate of the same vehicle is judged, wherein the first information and the second information are acquired by a certain inspection gate, if the first information is matched with the second information, the vehicle is judged as a legal vehicle; if the first information is not matched with the second information, first information contained in the electronic license plate and second information contained in the physical license plate of the same vehicle acquired by a plurality of inspection gates which are adjacent to the inspection gate are obtained according to the driving path of the vehicle; and whether the first information and the second information which are acquired by each inspection gate are matched with each other is judged, if the first information is not matched with the second information, the vehicle is finally judged as an illegal vehicle. According to the method, when the second information cannot be clearly identified due to poor external environment, and the first information cannot be matched with the second information, the above judgment result can be verified through judging whether the first information and the second information of the same vehicle which are acquired by the plurality of inspection gates which are adjacent to the inspection gate are matched each other, and therefore, misjudgment caused by unclear identification of the physical license plate in a vehicle recognition process can be avoided.

There are provided methods and devices for improving a shopping experience of a user, including methods and devices for creating, updating, and maintaining a list such as a shopping list and methods and devices for automatically identifying a suitable substitute to a user selected product.