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GRAPHICSINTERFACE
2000
15 years 5 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...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 10 months ago
Human-robot team navigation in visually complex environments
—Current fully autonomous robots are unable to navigate effectively in visually complex environments due to limitations in sensing and cognition. Full teleoperation using current...
John Carff, Matthew Johnson, Eman El-Sheikh, Jerry...
AIIA
2007
Springer
15 years 10 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
ACIVS
2006
Springer
15 years 10 months ago
Water Flow Based Complex Feature Extraction
A new general framework for shape extraction is presented, based on the paradigm of water flow. The mechanism embodies the fluidity of water and hence can detect complex shapes. A ...
Xin U. Liu, Mark S. Nixon
132
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NIPS
2007
15 years 5 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi