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» Learning the Relative Importance of Features in Image Data
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SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
15 years 1 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
WD
2010
14 years 9 months ago
Centrality-based routing for Wireless Sensor Networks
The use of topological features, more specifically, the importance of an element related to its structural position is a subject widely studied. For instance, complex networks theo...
Eduardo M. R. Oliveira, Heitor S. Ramos, Antonio A...
75
Voted
ICRA
2000
IEEE
108views Robotics» more  ICRA 2000»
15 years 4 months ago
High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications
This paper presents the design of a high accuracy outdoor navigation system based on standard dead reckoning sensors and laser range and bearing information. The data validation p...
José E. Guivant, Eduardo Mario Nebot, Stefa...
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
SIAMIS
2010
176views more  SIAMIS 2010»
14 years 10 months ago
Optimized Conformal Surface Registration with Shape-based Landmark Matching
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface ...
Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wa...