Sciweavers

357 search results - page 2 / 72
» Non-linear Mapping for Feature Extraction
Sort
View
NECO
2000
190views more  NECO 2000»
13 years 5 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
GIS
2009
ACM
13 years 9 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
ICRA
2005
IEEE
131views Robotics» more  ICRA 2005»
13 years 11 months ago
Multifunctional Whisker Arrays for Distance Detection, Terrain Mapping, and Object Feature Extraction
: Several species of animals use whiskers to accurately navigate and explore objects in the absence of vision. We have developed inexpensive arrays of artificial whiskers based on ...
Aimee Schultz, Joseph Solomon, Michael A. Peshkin,...
MICCAI
1999
Springer
13 years 9 months ago
Extracting Features from Tactile Maps
Tactile imaging is a newly developed mechanical sensing technology for documenting the properties of hard lumps contained in soft tissue. An examiner strokes a scan head across tis...
Parris S. Wellman, Robert D. Howe
GIS
2009
ACM
13 years 9 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...