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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 5 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
VLSISP
1998
111views more  VLSISP 1998»
13 years 5 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
AC
2005
Springer
13 years 5 months ago
The state of artificial intelligence
Artificial intelligence has been an active branch of research for computer scientists and psychologists for 50 years. The concept of mimicking human intelligence in a computer fue...
Adrian A. Hopgood
BMCBI
2010
148views more  BMCBI 2010»
13 years 5 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
SECON
2007
IEEE
13 years 11 months ago
On the Prevalence of Sensor Faults in Real-World Deployments
—Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such ...
Abhishek Sharma, Leana Golubchik, Ramesh Govindan