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TSP
2008
167views more  TSP 2008»
14 years 8 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
BMCBI
2006
145views more  BMCBI 2006»
14 years 10 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...
CGA
2007
14 years 10 months ago
Content-Based 3D Object Retrieval
3D objects are an important multimedia data type with many applications in domains such as Computer Aided Design, Simulation, Visualization, and Entertainment. Advancements in pro...
Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, To...
CORR
2010
Springer
157views Education» more  CORR 2010»
14 years 10 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
JMLR
2012
13 years 11 days ago
Active Clustering of Biological Sequences
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...