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» Learning from Highly Structured Data by Decomposition
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ECCV
2010
Springer
15 years 3 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
PATMOS
2010
Springer
14 years 8 months ago
L1 Data Cache Power Reduction Using a Forwarding Predictor
In most modern processor designs the L1 data cache has become a major consumer of power due to its increasing size and high frequency access rate. In order to reduce this power con...
P. Carazo, R. Apolloni, Fernando Castro, Daniel Ch...
NIPS
2003
14 years 11 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann
BMCBI
2010
148views more  BMCBI 2010»
14 years 10 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
KDD
2008
ACM
224views Data Mining» more  KDD 2008»
15 years 10 months ago
The structure of information pathways in a social communication network
Social networks are of interest to researchers in part because they are thought to mediate the flow of information in communities and organizations. Here we study the temporal dyn...
Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Wat...