40 results about "Local selection" patented technology

The present invention relates generally to the classification of items into categories, and more generally, to the automatic selection of different classifiers at different places within a hierarchy of categories. An exemplary hierarchical categorization method uses a hybrid of different classification technologies, with training-data based machine-learning classifiers preferably being used in those portions of the hierarchy above a dynamically defined boundary in which adequate training data is available, and with a-priori classification rules not requiring any such training-data being used below that boundary, thereby providing a novel hybrid categorization technology that is capable of leveraging the strengths of its components. In particular, it enables the use of human-authored rules in those finely divided portions towards the bottom of the hierarchy involving relatively close decisions for which it is not practical to create in advance sufficient training data to ensure accurate classification by known machine-learning algorithms, while still facilitating eventual change-over within the hierarchy to machine learning algorithms as sufficient training data becomes available to ensure acceptable performance in a particular sub-portion of the hierarchy.

Before myocardium perfusion imaging, the variation of position in the dynamic time-phase direction due to a respiratory body motion of the subject is detected, and the slice excitation position and the data collection position are made to follow up the body motion according to the variation. For the follow-up, a saturation pulse of space nonselection and a local selection pulse for flip back of the flip angle attributed to the saturation pulse of space nonselection are applied to the region to which a probe pulse for detecting the body motion of the subject before the heart is imaged is applied before the probe pulse is applied, thereby measuring the body motion.

The invention relates to a rapid response method for the failure of a link between two routing domains in a packet-oriented network. Once the failure of a link has been identified, substitute routes are provided for the interrupted routes by the local selection of alternative routes and by the propagation of messages along the substitute routes. In contrast to conventional inter-domain protocols such as the BGP (Iborder gateway protocol) the transmission of messages and the associated modification to the routing only involves routing domains that lie along the replacement routes. In one embodiment, a network-wide propagation of messages takes place if the failure of the link represents a persistent breakdown. As a consequence, optimal routes are re-determined in the entire network. The invention provides breakdown compensation that is appropriate for temporary breakdowns and prevents instabilities that occur as a result of the use of conventional inter-domain protocols.

Disclosed is a magnetic resonance imaging apparatus. During myocardium perfusion imaging, the variation of position in the dynamic time-phase direction due to a respiratory body motion of the subject is detected, and the slice excitation position and the data collection position are made to follow up the body motion according to the variation. For the follow-up, a saturation pulse of space nonselection and a local selection pulse for flip back of the flip angle attributed to the saturation pulse of space nonselection are applied to the region to which a probe pulse for detecting the body motion of the subject before the heart is imaged is applied before the probe pulse is applied, thereby measuring the body motion.

A method and apparatus for improving the performance of video encoders and decoders involves selecting a set of transforms from among a plurality of sets of transforms that can be used for coding blocks in a region of a video image. Within a region, selection of a particular transform from among a plurality of transforms comprising the selected set of transforms is used to encoder or decode at least one block in the region. Associated indices representing the set of transforms to be used within a region and the selected transform for a block can be sent in a bitstream. In an alternate embodiment, a default set of transforms is complemented by selection of an additional set of transforms on a block or region basis.

The invention belongs to the field of internet communication and provides a method for determining a data migration target. The method comprises the following steps of comparing a heat value of estimated data with a set threshold value of each storing layer, and performing local selection to obtain a local selection result; performing re-selection on the local selection result in the way of combining the residual space of each storing layer to obtain the data migration target; and after data migration is finished, updating the threshold value according to a migration result. Local selection and overall selection are combined, self-selection is performed on each storing layer, further selection is performed on the data target subjected to local selection, and the residual space of each storing layer is combined to determine the data migration target, so that the migration target can be reduced as much as possible and can adapt to the dynamic change of system load, and good storage resources can also be fully used.

The invention discloses a nonconvex compressed sensing image reconstruction method based on local similarity and local selection. The method comprises the following steps: 1) carrying out observation and reception after an image is partitioned; 2)utilizing a local growth method to carry out clustering on observation vectors of all the image blocks; 3) carrying out population initialization on the image block corresponding to each kind of observation vector according to the scheme that the polyatom direction and monatom direction coexist; 4) utilizing an improved genetic algorithm to carry out crossing, variation and selection operation based on a local selection mechanism on the populations obtained in the step 3), reconstituting corresponding image blocks and obtaining optimal atom combinations; 5) utilizing a clone selection optimization algorithm to study the optimal atom combinations on the aspects of dimension and displacement; and 6) piecing the image blocks obtained in the step 5) together in sequence to obtain a complete reconstructed image, and outputting the complete reconstructed image. The reconstructed image is good in visual effect and high in peak signal to noise ratio, and can be used for nonconvex compressed sensing reconstruction of image signals under the condition of low sampling rate.