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» Learning and prediction of slip from visual information
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ECCV
2008
Springer
14 years 9 months ago
Structuring Visual Words in 3D for Arbitrary-View Object Localization
Abstract. We propose a novel and efficient method for generic arbitraryview object class detection and localization. In contrast to existing singleview and multi-view methods using...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
ECMDAFA
2007
Springer
100views Hardware» more  ECMDAFA 2007»
14 years 2 months ago
Reverse Engineering Models from Traces to Validate Distributed Systems - An Industrial Case Study
The paper targets the applicability of model-driven methodologies to the validation of complex systems and presents a case study of a mobile radio network. Validation relies on the...
Andreas Ulrich, Alexandre Petrenko
BMCBI
2010
159views more  BMCBI 2010»
13 years 8 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
CHI
2004
ACM
14 years 8 months ago
Unintended effects: varying icon spacing changes users' visual search strategy
Users of modern GUIs routinely engage in visual searches for various control items, such as buttons and icons. Because this is so ubiquitous, it is important that the visual prope...
Sarah P. Everett, Michael D. Byrne
ICML
2000
IEEE
14 years 8 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...