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» Using Gaussian Processes to Optimize Expensive Functions
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
DICTA
2003
13 years 9 months ago
Gaussian Blurring-Deblurring for Improved Image Compression
The deblurring of Gaussian blur by inverting the action of the diffusion equation has long been known. This technique is interesting but without much practical application since th...
Moi Hoon Yap, Michel Bister, Hong Tat Ewe
IROS
2007
IEEE
193views Robotics» more  IROS 2007»
14 years 1 months ago
Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters
Abstract— Particle filters are a frequently used filtering technique in the robotics community. They have been successfully applied to problems such as localization, mapping, o...
Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgar...
PLDI
2010
ACM
14 years 21 days ago
Smooth interpretation
We present smooth interpretation, a method to systematically approximate numerical imperative programs by smooth mathematical functions. This approximation facilitates the use of ...
Swarat Chaudhuri, Armando Solar-Lezama
DAGM
2011
Springer
12 years 7 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...