MAYACHITRA, INC.

The ubiquity of image sensors for data collection creates a glut of data, which leads to bottlenecks in the processing capabilities of modern systems. In order to process this data, meticulously label ...

In Phase II, the machine learning (ML) model update strategies that were developed as part of Phase I efforts will be refined for different use-case scenarios. This includes developing and validating ...

The massive influx of information through the web and its rapid expansion through social media provides a rare but effective sliver of operational information. One core challenge in the extraction of ...

We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process ...

Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probabilit ...

Low resolution quality of operational data, size of objects of interest, view occlusions, and crowded scenes degrade the performance of state-of-art region saliency and object recognition approaches w ...

The overarching goal of this Phase II effort is to simplify the job of an analyst when choosing a reference image for image registration. Analysts are typically provided a group of images that overlap ...

Today's commercial Antivirus defense mechanisms are based on scanning systems for suspicious activity. If such an activity is found, the suspect files are either quarantined or the vulnerable system i ...

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Intelligence cues in multimedia data are result of multiple sources: inherent knowledge of multiple end-users (analysts), feature-rich digital data content (co-occurrence of specific behaviors and sce ...