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» Randomized Algorithms for Motif Detection
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 9 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
ICTAI
2008
IEEE
14 years 3 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui
ICASSP
2011
IEEE
13 years 10 days ago
Keypoint-based near-duplicate images detection using affine invariant feature and color matching
This paper presents a new keypoint-based approach to nearduplicate images detection. It consists of three steps. Firstly, the keypoints of images are extracted and then matched. S...
Yue Wang, Zujun Hou, Karianto Leman
BMCBI
2006
144views more  BMCBI 2006»
13 years 8 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...
CPM
1993
Springer
125views Combinatorics» more  CPM 1993»
14 years 22 days ago
Detecting False Matches in String Matching Algorithms
Consider a text string of length n, a pattern string of length m, and a match vector of length n which declares each location in the text to be either a mismatch (the pattern does ...
S. Muthukrishnan