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ECCV
2010
Springer
15 years 7 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
BMCBI
2008
131views more  BMCBI 2008»
15 years 7 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
EDBT
2009
ACM
165views Database» more  EDBT 2009»
15 years 4 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos
HPCA
2011
IEEE
14 years 10 months ago
Beyond block I/O: Rethinking traditional storage primitives
Over the last twenty years the interfaces for accessing persistent storage within a computer system have remained essentially unchanged. Simply put, seek, read and write have deļ¬...
Xiangyong Ouyang, David W. Nellans, Robert Wipfel,...
EDBT
2011
ACM
256views Database» more  EDBT 2011»
14 years 10 months ago
RanKloud: a scalable ranked query processing framework on hadoop
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...
K. Selçuk Candan, Parth Nagarkar, Mithila N...