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IJON
2008
121views more  IJON 2008»
15 years 4 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 6 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
CVPR
2009
IEEE
16 years 11 months ago
Error Propagations for Local Bundle Adjustment
Local bundle adjustment (LBA) has recently been introduced to estimate the geometry of image sequences taken by a calibrated camera. Its advantage over standard (global) bundle ...
Alexandre Eudes (LASMEA & CEA LIST), Maxime L...
IPSN
2004
Springer
15 years 9 months ago
Entropy-based sensor selection heuristic for target localization
We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing mod...
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
CG
1998
Springer
15 years 8 months ago
Relevance Cuts: Localizing the Search
Humans can e ectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish ...
Andreas Junghanns, Jonathan Schaeffer