International Business Machines Corporation

Other

Chen Yu Chang

Na Liu

Zhong Fang Yuan

Tong Liu

Bin Shang

Xue Ying Zhang

Yang Liang

Xiang Yu Yang

Deng Xin Luo

Keith David Bernkrant

Elaine M Branagh

Pitipong Jun Sen Lin

Fei Qi

Qin Dong Yin

Jun Guo

One or more computer processors extract respective features for each inter-modal sample in an inter-modal dataset, for each intra-modal sample in an intra-modal dataset, and a subsequent sample, wherein the inter-modal dataset and the intra-modal dataset are contained in a multi-modal training dataset. The one or more computer processors estimate an inter-modal label utilizing inter-modal label transformation of a subsequent sample. The one or more computer processors estimate an intra-modal label utilizing intra-modal label transformation of the subsequent sample. The one or more computer processors label the subsequent sample with a cross-modal label by combining the estimated inter-modal label and the estimated intra-modal label.

Cross-modal semi-supervised data labeling

An example operation may include one or more of generating a plurality of bounding boxes at a plurality of content areas in an image corresponding to a plurality of pieces of text within the image, converting the plurality of bounding boxes into a plurality of bounding box vectors based on attributes of the plurality of bounding boxes, training a machine learning model to transform a bounding box into a location in vector space based on the plurality of bounding box vectors, and storing the trained machine learning model in memory.

Visualization of the impact of training data using bounding box vectors to train a machine learning model

In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.

Data migration in a distributed file system

An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Entity recognition based on multi-task learning and self-consistent verification

A sighting system comprising light-emitting rear sighting indicators in which a set of rear sighting indicators disposed on or near the hammer end of a firearm, and, optionally, a front sighting indicator that comprises a brightly colored dot or fiber-optic sighting indicator. The rear sighting indicators may comprise fiber-optic elements that channel light energy towards the user's eye. In use, when the user brings the firearm to a firing position, the user's eyes and mind are able to quickly acquire the light-emitting rear indicators and subconsciously aim the firearm at an intended target, or to point the firearm in a desired direction. Thus, the fast acquiring firearm sighting system enables a firearm to be quickly aimed and fired. The use of the fast acquiring firearm sighting system of the invention reduces the processing load on the user's eyes and brain and makes aiming the firearm intuitive and instant.

Fast acquiring gun sight

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Xi an, China

Chen Yu Chang