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STACS
2012
Springer
12 years 3 months ago
Linear-Space Data Structures for Range Mode Query in Arrays
A mode of a multiset S is an element a ∈ S of maximum multiplicity; that is, a occurs at least as frequently as any other element in S. Given an array A[1 : n] of n elements, we...
Timothy M. Chan, Stephane Durocher, Kasper Green L...
COMPGEOM
2003
ACM
14 years 29 days ago
Cache-oblivious data structures for orthogonal range searching
We develop cache-oblivious data structures for orthogonal range searching, the problem of finding all T points in a set of N points in Êd lying in a query hyper-rectangle. Cache...
Pankaj K. Agarwal, Lars Arge, Andrew Danner, Bryan...
GIS
1995
ACM
13 years 11 months ago
Measuring the Complexity of Polygonal Objects
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...
PPOPP
2010
ACM
14 years 5 months ago
Using data structure knowledge for efficient lock generation and strong atomicity
To achieve high-performance on multicore systems, sharedmemory parallel languages must efficiently implement atomic operations. The commonly used and studied paradigms for atomici...
Gautam Upadhyaya, Samuel P. Midkiff, Vijay S. Pai
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein