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PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 2 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
CORR
2002
Springer
118views Education» more  CORR 2002»
14 years 9 months ago
Unsupervised discovery of morphologically related words based on orthographic and semantic similarity
We present an algorithm that takes an unannotated corpus as its input, and returns a ranked list of probable morphologically related pairs as its output. The algorithm tries to di...
Marco Baroni, Johannes Matiasek, Harald Trost
MVA
2010
130views Computer Vision» more  MVA 2010»
14 years 8 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
15 years 4 months ago
Adaptive workspace biasing for sampling-based planners
Abstract— The widespread success of sampling-based planning algorithms stems from their ability to rapidly discover the connectivity of a configuration space. Past research has ...
Matthew Zucker, James Kuffner, James A. Bagnell