Sciweavers

2277 search results - page 220 / 456
» Clustering by pattern similarity in large data sets
Sort
View
OSDI
2008
ACM
16 years 7 months ago
Hunting for Problems with Artemis
Artemis is a modular application designed for analyzing and troubleshooting the performance of large clusters running datacenter services. Artemis is composed of four modules: (1)...
Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Mois&eac...
ICIP
2007
IEEE
16 years 8 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 7 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
WAW
2010
Springer
235views Algorithms» more  WAW 2010»
15 years 4 months ago
Multiplicative Attribute Graph Model of Real-World Networks
Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain th...
Myunghwan Kim, Jure Leskovec
ICNC
2005
Springer
16 years 4 days ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao