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ECCV
2010
Springer
13 years 8 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
2010
153views more  BMCBI 2010»
13 years 8 months ago
MimoSA: a system for minimotif annotation
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...
JGAA
2006
100views more  JGAA 2006»
13 years 8 months ago
Orthogonal Hypergraph Drawing for Improved Visibility
Visualization of circuits is an important research area in electronic design automation. One commonly accepted method to visualize a circuit aligns the gates to layers and uses or...
Thomas Eschbach, Wolfgang Günther, Bernd Beck...
VRST
2010
ACM
13 years 6 months ago
Shake-your-head: revisiting walking-in-place for desktop virtual reality
The Walking-In-Place interaction technique was introduced to navigate infinitely in 3D virtual worlds by walking in place in the real world. The technique has been initially devel...
Léo Terziman, Maud Marchal, Mathieu Emily, ...
CARS
2004
13 years 10 months ago
Robotically assisted ablative treatment guided by freehand 3D ultrasound
Robots can improve the accuracy of image-guided needle placement over traditional free-hand techniques. While many research groups have demonstrated this, widespread clinical adopt...
Emad Boctor, Robert J. Webster III, Michael A. Cho...