Sciweavers

AAAI
2012
11 years 6 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
IJCV
2002
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13 years 4 months ago
On the Consistency of Instantaneous Rigid Motion Estimation
Instantaneous camera motion estimation is an important research topic in computer vision. Although in theory more than five points uniquely determine the solution in an ideal situa...
Tong Zhang, Carlo Tomasi
NIPS
2007
13 years 5 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
LATIN
2004
Springer
13 years 9 months ago
On the (Im)possibility of Non-interactive Correlation Distillation
We study the problem of non-interactive correlation distillation (NICD). Suppose Alice and Bob each has a string, denoted by A = a0a1 · · · an−1 and B = b0b1 · · · bn−1,...
Ke Yang
ECCV
2004
Springer
13 years 9 months ago
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
Recent research provided several new and fast approaches for the class of parameter estimation problems that are common in computer vision. Incorporation of complex noise model (mo...
Matthias Mühlich, Rudolf Mester
SCALESPACE
2009
Springer
13 years 11 months ago
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
Miyoun Jung, Luminita A. Vese