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NIPS
2003
15 years 6 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
TMI
2010
181views more  TMI 2010»
15 years 3 months ago
In Vivo Impedance Imaging With Total Variation Regularization
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
GIS
2010
ACM
15 years 3 months ago
Supporting location-based approximate-keyword queries
Many Web sites support keyword search on their spatial data, such as business listings and photos. In these systems, inconsistencies and errors can exist in both queries and the d...
Sattam Alsubaiee, Alexander Behm, Chen Li
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
15 years 3 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
SIGMOD
2008
ACM
245views Database» more  SIGMOD 2008»
16 years 5 months ago
Information fusion in wireless sensor networks
In wireless sensor networks (WSNs), energy consumption and data quality are two important issues due to limited energy resources and the need for accurate data. In this scenario, i...
Eduardo Freire Nakamura, Antonio Alfredo Ferreira ...