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» Simple Randomized Algorithms for Closest Pair Problems
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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Semi-supervised learning of object categories from paired local features
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...
Wen Wu, Jie Yang
DAM
2006
79views more  DAM 2006»
14 years 11 months ago
A simple expected running time analysis for randomized "divide and conquer" algorithms
There are many randomized "divide and conquer" algorithms, such as randomized Quicksort, whose operation involves partitioning a problem of size n uniformly at random int...
Brian C. Dean
CIAC
2000
Springer
105views Algorithms» more  CIAC 2000»
15 years 4 months ago
Algorithms for a Simple Point Placement Problem
We consideralgorithms for a simple one-dimensionalpoint placement problem: given N points on a line, and noisy measurements of the distances between many pairs of them, estimate th...
Joshua Redstone, Walter L. Ruzzo
CIKM
2006
Springer
15 years 3 months ago
Finding highly correlated pairs efficiently with powerful pruning
We consider the problem of finding highly correlated pairs in a large data set. That is, given a threshold not too small, we wish to report all the pairs of items (or binary attri...
Jian Zhang, Joan Feigenbaum
ISAAC
2005
Springer
113views Algorithms» more  ISAAC 2005»
15 years 5 months ago
A Simple Optimal Randomized Algorithm for Sorting on the PDM
Abstract. The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottleneck that arises in the processing of massive data sets. Sorting has been extensively studied ...
Sanguthevar Rajasekaran, Sandeep Sen