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SIGIR
2008
ACM
15 years 5 months ago
Theoretical bounds on and empirical robustness of score regularization to different similarity measures
We present theoretical bounds and empirical robustness of score regularization given changes in the similarity measure. Categories and Subject Descriptors: I.5.3 Clustering: Simil...
Fernando D. Diaz
121
Voted
ICIP
2009
IEEE
15 years 2 months ago
Footprint tracking and recognition using a pressure sensing floor
This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed met...
Jiqing Zhang, Gang Qian, Assegid Kidané
BMCBI
2008
129views more  BMCBI 2008»
15 years 5 months ago
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management
Background: Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large d...
Geraint Barton, J. C. Abbott, Norie Chiba, D. W. H...
BMCBI
2011
14 years 11 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...
126
Voted
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen