Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Hashing, which tries to learn similarity-preserving binary codes for data representation, has been widely used for efficient nearest neighbor search in massive databases due to i...
"Have you ever played a side-scrolling action arcade game on your PC and wondered what it takes to program one? How do the programmers scroll their backgrounds so fast and mak...
We present the “Dynamic Packing Grid” (DPG) data structure along with details of our implementation and performance results, for maintaining and manipulating flexible molecul...
Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Muhibu...