Optimal parallel pattern matching in strings
Information and Control
Relations between concurrent-write models of parallel computation
SIAM Journal on Computing
An optimal O(log n)time parallel string matching algorithm
SIAM Journal on Computing
Deterministic sampling: a new technique for fast pattern matching
SIAM Journal on Computing
On a compaction theorem of Ragde
Information Processing Letters
The parallel simplicity of compaction and chaining
Journal of Algorithms
The Parallel Evaluation of General Arithmetic Expressions
Journal of the ACM (JACM)
Shift Register Sequences
Optimally fast parallel algorithms for preprocessing and pattern matching in one and two dimensions
SFCS '93 Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science
Tangible interfaces for interactive multimedia presentations
Mobile Information Systems - Information Assurance and Advanced Human-Computer Interfaces
International Journal of Imaging Systems and Technology - Contemporary Challenges in Combinatorial Image Analysis
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Since the 80s, when the computer mouse was first invented, point-and-click functionality became widely adopted, in particular, for work with images and GUIs. It would be useful to provide such functionality for printed materials, as well. A direct point-and-click functionality should not require tablet-like devices, but should rather use an embedded marking which defines a coordinate system within the image. An original approach and related technology for direct interface, known as Cluster Pattern Interface (CLUSPI), was proposed [12]. It is based on an unobtrusive layer of the image defining a coordinate system, a camera-based pointing device, and decoding software. CLUSPI technology was invented and patented by one of the authors of this paper. Here we present the theoretical (mathematical) foundations of the methods developed. We also describe some theoretical challenges and propose solutions to them.