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» Semi-supervised boosting using visual similarity learning
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ECCV
2010
Springer
13 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
VLC
2010
156views more  VLC 2010»
13 years 2 months ago
Visual instructional design languages
Submission Deadline: December 14, 2009 The Journal of Visual Languages and Computing (http://www.elsevier.com/locate/jvlc, impact factor: 0.863) invites authors to submit papers fo...
Manuel Caeiro Rodríguez, Michael Derntl, Lu...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 8 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
GRAPHICSINTERFACE
2000
13 years 9 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
CVPR
2009
IEEE
14 years 5 months ago
Visual loop closing using multi-resolution SIFT grids in metric-topological SLAM
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...
Vivek Pradeep, Gérard G. Medioni, James Wei...