International Business Machines Corporation

University of California

Ban Kawas

Sharathchandra UmapathiRao Pankanti

Arvind Kumar

Janusz Marecki

Bonnie Kathryn Ray

Dharmashankar Subramanian

Paul Price

Erfan Sayyari

Josephine Schweiloch

Siavash Mirarab

Triggering a prioritized alert and provisioning an action may include receiving historical data associated with a set of projects, the historical data spanning multiple consecutive time periods. A hierarchical data structure is generated that includes occurrences of performance factors in the historical data. Based on the hierarchical data structure, Bayesian scores associated with the performance factors are derived, the Bayesian scores representing likelihood of the performance factors occurring in a given project. The performance factors are ranked based on the Bayesian scores. Based on ranking, an alert and an action may be automatically triggered.

Microcontroller for triggering prioritized alerts and provisioned actions

Techniques facilitating tree-based associative data augmentation are provided. In one example, a computer-implemented method comprises: generating, by a device operatively coupled to a processor, a model probability distribution for one or more measured samples based on conditional probabilities for respective nodes of a tree structure associated with dimensions of the one or more measured samples; and producing, by the device, synthetic samples by drawing from the model probability distribution for at least one of the one or more measured samples.

Tree-based associative data augmentation

A computer-implemented method according to one embodiment includes identifying principal components for a dataset defined by data instances and features corresponding to the data instances, identifying, for at least one of the data instances, at least some of the principal components, wherein the identified principal components are determined to be salient for said at least one data instance, and determining, for said at least one of the data instances, one or more salient features corresponding to the identified salient principal components.

Identifying salient features for instances of data

A method of operating an image detection device includes receiving an image, dividing the image into a plurality of patches, grouping ones of the plurality of patches, generating a set of saccadic paths through the plurality of patches of the image, generating a cluster-direction sequence for each saccadic path, generating a policy function for identifying an object in a new image using a combination of the cluster-direction sequences, and operating the image detection device using the policy function to identify an object in the new image.

Visual object and event detection and prediction system using saccades

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San Jose, CA, United States of America

Ban Kawas