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» Approximation in quantale-enriched categories
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BMCBI
2007
140views more  BMCBI 2007»
14 years 10 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
CVPR
2008
IEEE
16 years 10 days ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ISCIS
2009
Springer
15 years 4 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
TKDE
2011
472views more  TKDE 2011»
14 years 5 months ago
Anonymous Publication of Sensitive Transactional Data
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
Gabriel Ghinita, Panos Kalnis, Yufei Tao
STOC
2005
ACM
184views Algorithms» more  STOC 2005»
15 years 3 months ago
Coresets in dynamic geometric data streams
A dynamic geometric data stream consists of a sequence of m insert/delete operations of points from the discrete space {1, . . . , ∆}d [26]. We develop streaming (1 + )-approxim...
Gereon Frahling, Christian Sohler