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HRI
2006
ACM
15 years 11 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...
ICANN
2009
Springer
15 years 9 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
119
Voted
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 9 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
VISUAL
1999
Springer
15 years 9 months ago
Visual Presentations in Multimedia Learning: Conditions that Overload Visual Working Memory
How should we design visual presentations to explain how a complex system works? One promising approach involves multimedia presentation of explanations in visual and verbal format...
Roxana Moreno, Richard E. Mayer
AAAI
2007
15 years 7 months ago
Machine Learning for Automatic Mapping of Planetary Surfaces
We describe an application of machine learning to the problem of geomorphic mapping of planetary surfaces. Mapping landforms on planetary surfaces is an important task and the fi...
Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta