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» Nearest Neighbor Distributions and Noise Variance Estimation
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ICIAP
2007
ACM
15 years 3 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score ...
Georgy L. Gimel'farb, Patrice Delmas, John Morris,...
DEXA
2010
Springer
187views Database» more  DEXA 2010»
14 years 7 months ago
Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 9 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
MICCAI
2009
Springer
15 years 11 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
DKE
2006
123views more  DKE 2006»
14 years 9 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...