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» Semi-supervised boosting using visual similarity learning
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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
DAGSTUHL
2000
13 years 9 months ago
Vision and Touch for Grasping
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
Rolf P. Würtz
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 6 months ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way
CVPR
2008
IEEE
14 years 9 months ago
Similarity-based cross-layered hierarchical representation for object categorization
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
Sanja Fidler, Marko Boben, Ales Leonardis
IROS
2007
IEEE
146views Robotics» more  IROS 2007»
14 years 1 months ago
Capturing robot workspace structure: representing robot capabilities
— Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach a...
Franziska Zacharias, Christoph Borst, Gerd Hirzing...