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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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CVPR
2010
IEEE
13 years 12 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
JMLR
2006
169views more  JMLR 2006»
13 years 8 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
14 years 2 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
BMCBI
2004
135views more  BMCBI 2004»
13 years 8 months ago
Information assessment on predicting protein-protein interactions
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
Nan Lin, Baolin Wu, Ronald Jansen, Mark Gerstein, ...
DOLAP
2008
ACM
13 years 10 months ago
Bridging the semantic gap in OLAP models: platform-independent queries
The development of data warehouses is based on a threestage process that starts specifying both the static and dynamic properties of on-line analytical processing (OLAP) applicati...
Jesús Pardillo, Jose-Norberto Mazón,...