646results about How to "Appropriate performance" patented technology

A feature extraction method includes: the step of grouping a cluster of features, in which an internal of the respective features is less than or equal to a predetermined grouping interval, to form a feature group, for a plurality of features of which feature information including at least information of a position and a feature type is included in a predetermined feature information storage unit; the step of excluding the feature, not suitable for use in an image recognition process of the feature with respect to image information, from the cluster of the features within the feature group; and the step of extracting a part or all of one or more of the features within the feature group remaining as a result of the exclusion step as a target feature suitable for the use in the image recognition process.

In relation to reading of data in a memory, it is an object to provide a semiconductor device mounted with a low power consumption memory. A semiconductor device including a word line, a bit line, and a memory cell electrically connected to the word line and the bit line, further includes a precharge circuit for making the bit line have an electric potential for reading data stored in the memory cell. The precharge circuit is provided for each bit line and connected to the bit line. Further, the precharge circuit is capable of making each bit line have an electric potential for reading the data stored in the memory cell for each bit line.

The present invention provides a speech recognition apparatus which appropriately performs speech recognition by generating, in real time, language models adapted to a new topic even in the case where topics are changed. The speech recognition apparatus includes: a word specification unit for obtaining and specifying a word; a language model information storage unit for storing language models for recognizing speech and corresponding pieces of tag information for each language model; a combination coefficient calculation unit for calculating the weights of the respective language models, as combination coefficients, according to the word obtained by the word specification unit, based on a relevance degree between the word obtained by the word specification unit and the tag information of each language model; a language probability calculation unit for calculating the probabilities of word appearance by combining the respective language models according to the calculated combination coefficients; and a speech recognition unit for recognizing speech by using the calculated probabilities of word appearance.

Two computer systems in a network each have a local store that contains a copy of a data item that is to be synchronized. One of the computer systems may be, for example, a mobile device while the other may be a synchronization server. In order to determine whether to synchronize a data item, and what synchronization mechanism to use, one of the computer systems references a flexible set of rules that may be influenced by instructions from a network administrator or a mobile device user. The flexible set of rules takes into consideration the value of the data, the cost associated with synchronization, the security of the synchronization mechanisms, the security of the mobile device, as well as the location of the mobile user in dictating whether and how to synchronize.