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IJCV
2006
206views more  IJCV 2006»
15 years 6 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
JAIR
2007
95views more  JAIR 2007»
15 years 6 months ago
Consistency and Random Constraint Satisfaction Models
In this paper, we study the possibility of designing non-trivial random CSP models by exploiting the intrinsic connection between structures and typical-case hardness. We show tha...
Yong Gao, Joseph C. Culberson
JCB
2007
94views more  JCB 2007»
15 years 6 months ago
A Quantile Method for Sizing Optical Maps
Optical mapping is an integrated system for the analysis of single DNA molecules. It constructs restriction maps (noted as “optical map”) from individual DNA molecules present...
Haifeng Li, Anton Valouev, David C. Schwartz, Mich...
TROB
2008
86views more  TROB 2008»
15 years 6 months ago
Visual SLAM for Flying Vehicles
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...
JMLR
2002
106views more  JMLR 2002»
15 years 6 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...