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BDA
2007
13 years 6 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
ISBI
2006
IEEE
14 years 5 months ago
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Florence Gombert, Sylvain Baillet
SCALESPACE
2005
Springer
13 years 10 months ago
Multiscale Active Contours
Abstract. In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first ...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ACMDIS
2010
ACM
13 years 5 months ago
Participatory sensing in public spaces: activating urban surfaces with sensor probes
Recent convergence between low-cost technology, artform and political discourse presents a new design space for enabling public participation and expression. We explore non-expert...
Stacey Kuznetsov, Eric Paulos
ECML
2006
Springer
13 years 8 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small