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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 6 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
UAI
1993
15 years 7 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
IROS
2006
IEEE
197views Robotics» more  IROS 2006»
16 years 15 hour ago
Heterogeneous Multi-Robot Localization in Unknown 3D Space
— This paper presents a self-localization strategy for a team of heterogenous mobile robots, including ground mobile robots of various sizes and wall-climbing robots. These robot...
Yi Feng 0002, Zhigang Zhu, Jizhong Xiao
IROS
2008
IEEE
164views Robotics» more  IROS 2008»
16 years 12 days ago
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion
— A mobile robot operating in an urban environment has to navigate around obstacles and hazards. Though a significant amount of work has been done on detecting obstacles, not mu...
Aniket Murarka, Mohan Sridharan, Benjamin Kuipers
SENSYS
2003
ACM
15 years 11 months ago
On the effect of localization errors on geographic face routing in sensor networks
In the absence of location errors, geographic routing - using a combination of greedy forwarding and face routing - has been shown to work correctly and efficiently. The effects o...
Karim Seada, Ahmed Helmy, Ramesh Govindan