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» Large Scale Learning of Active Shape Models
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IROS
2008
IEEE
98views Robotics» more  IROS 2008»
15 years 4 months ago
A scalable and distributed approach for self-assembly and self-healing of a differentiated shape
— As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these robots in such a way that the sum of th...
Michael Rubenstein, Wei-Min Shen
ECCV
2008
Springer
15 years 11 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...
EMNLP
2010
14 years 7 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
CVPR
2010
IEEE
15 years 5 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
DSRT
2008
IEEE
15 years 4 months ago
Simulating the Potential Savings of Implicit Energy Management on a City Scale
According to statistics and future prospects in the next few years world-wide energy consumption will increase significantly. Therefore not only more energy efficient technologi...
Doris Zachhuber, Jakob Doppler, Alois Ferscha, Cor...