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ECCV
2010
Springer
15 years 5 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
153views more  BMCBI 2008»
15 years 5 months ago
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Jens Allmer, Sebastian Kuhlgert, Michael Hippler
ENTCS
2008
106views more  ENTCS 2008»
15 years 5 months ago
Modelling Adaptive Systems in ForSyDe
Emerging architectures such as partially reconfigurable FPGAs provide a huge potential for adaptivity in the area of embedded systems. Since many system functions are only execute...
Ingo Sander, Axel Jantsch
AO
2006
127views more  AO 2006»
15 years 5 months ago
Formal ontology meets industry
in ontology is quite abstract and often based on toy-examples to the point that the gap between the work of theoreticians and the needs of real applications is too wide to be cross...
Stefano Borgo, Matteo Cristani, Roberta Cuel
JCST
2008
121views more  JCST 2008»
15 years 5 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
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