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INFOCOM
2009
IEEE
15 years 11 months ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
15 years 10 months ago
Towards Topological Exploration of Abandoned Mines
— The need for reliable maps of subterranean spaces too hazardous for humans to occupy has motivated the use of robotic technology as mapping tools. As such, we present a systemi...
Aaron Morris, David Silver, David I. Ferguson, Sco...
WAPCV
2007
Springer
15 years 11 months ago
Reinforcement Learning for Decision Making in Sequential Visual Attention
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
Lucas Paletta, Gerald Fritz
CVPR
2012
IEEE
13 years 7 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
16 years 5 months ago
On effective classification of strings with wavelets
In recent years, the technological advances in mapping genes have made it increasingly easy to store and use a wide variety of biological data. Such data are usually in the form o...
Charu C. Aggarwal