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AAAI
2007
14 years 11 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
ICPPW
2009
IEEE
14 years 7 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 1 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 2 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...