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» Approximation Algorithms for Tensor Clustering
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CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 7 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
JMM2
2006
212views more  JMM2 2006»
13 years 7 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
CORR
2010
Springer
209views Education» more  CORR 2010»
13 years 8 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
DICTA
2003
13 years 9 months ago
Fast Adaptive Algorithm for Time-Critical Color Quantization Application
Color quantization is the process of grouping n data points to k cluster. We proposed a new approach, based on Wu’s color quantization [6]. Our approach can significantly reduce ...
Kiattisin Kanjanawanishkul, Bunyarit Uyyanonvara
OSDI
2008
ACM
14 years 8 months ago
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...