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ICCV
1995
IEEE
15 years 3 months ago
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
William T. Freeman, David H. Brainard
ICPR
2010
IEEE
15 years 5 months ago
Forest Species Recognition Using Color-Based Features
In this work we address the problem of forest species recognition which is a very challenging task and has several potential applications in the wood industry. The first contribu...
Pedro Luiz Paula, Luiz Oliveira, Alceu Britto, R. ...
ECCV
2008
Springer
16 years 1 months ago
Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
Kevin Köser, Reinhard Koch
TIT
2008
103views more  TIT 2008»
14 years 11 months ago
Fast Distributed Algorithms for Computing Separable Functions
The problem of computing functions of values at the nodes in a network in a fully distributed manner, where nodes do not have unique identities and make decisions based only on loc...
Damon Mosk-Aoyama, Devavrat Shah
ASIACRYPT
2007
Springer
15 years 5 months ago
Two-Party Computing with Encrypted Data
We consider a new model for online secure computation on encrypted inputs in the presence of malicious adversaries. The inputs are independent of the circuit computed in the sense ...
Seung Geol Choi, Ariel Elbaz, Ari Juels, Tal Malki...