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» Informative sampling for large unbalanced data sets
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143
Voted
ICCV
2007
IEEE
16 years 5 months ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
131
Voted
MCS
2009
Springer
15 years 10 months ago
Recoding Error-Correcting Output Codes
Abstract. One of the most widely applied techniques to deal with multiclass categorization problems is the pairwise voting procedure. Recently, this classical approach has been emb...
Sergio Escalera, Oriol Pujol, Petia Radeva
123
Voted
BMCBI
2005
140views more  BMCBI 2005»
15 years 3 months ago
JACOP: A simple and robust method for the automated classification of protein sequences with modular architecture
Background: Whole-genome sequencing projects are rapidly producing an enormous number of new sequences. Consequently almost every family of proteins now contains hundreds of membe...
Peter Sperisen, Marco Pagni
128
Voted
BMCBI
2006
145views more  BMCBI 2006»
15 years 3 months ago
Querying the public databases for sequences using complex keywords contained in the feature lines
Background: High throughput technologies often require the retrieval of large data sets of sequences. Retrieval of EMBL or GenBank entries using keywords is easy using tools such ...
Olivier Croce, Michaël Lamarre, Richard Chris...
167
Voted
BMCBI
2006
146views more  BMCBI 2006»
15 years 3 months ago
A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls
Background: Statistical comparison of peptide profiles in biomarker discovery requires fast, userfriendly software for high throughput data analysis. Important features are flexib...
Mark K. Titulaer, Ivar Siccama, Lennard J. Dekker,...