Labeling of connected components in a binary image is one of the most fundamental
operations in pattern recognition: labeling is required whenever a computer needs to recognize …

Bitmap indices are efficient for answering queries on low-cardinality attributes. In this article,
we present a new compression scheme called Word-Aligned Hybrid (WAH) code that …

In this paper, we propose a restarted variant of the Lanczos method for symmetric eigenvalue
problems named the thick-restart Lanczos method. This new variant is able to retain an …

We present two optimization strategies to improve connected-component labeling
algorithms. Taking together, they form an efficient two-pass labeling algorithm that is fast and …

Applications running on leadership platforms are more and more bottlenecked by storage
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …

This paper presents two new strategies that can be used to greatly improve the speed of
connected component labeling algorithms. To assign a label to a new object, most connected …

We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum
annealer. We derive a formulation of the problem, discuss several possible integer encoding …

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2
addresses scientific data management needs ranging from scalable I/O in supercomputers, …

As scientific instruments and computer simulations produce more and more data, the task of
locating the essential information to gain insight becomes increasingly difficult. FastBit is an …

We study the effects of compression on bitmap indexes. The main operations on the
bitmaps during query processing are bitwise logical operations. Using the general purpose …