The state of the science of information security is astonishingly rich with solutions and tools to incrementally and selectively solve the hard problems. In contrast, the state of...
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IM...
Kalyan Moy Gupta, Michael Zang, Adam Gray, David W...
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...