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CVPR
2000
IEEE
14 years 7 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
TIFS
2008
183views more  TIFS 2008»
13 years 5 months ago
Blind Authentication Using Periodic Properties of Interpolation
In this paper we analyze and analytically describe the specific statistical changes brought into the covariance structure of signal by the interpolation process. We show that inter...
Babak Mahdian, Stanislav Saic
NIPS
2007
13 years 6 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
ACL
2006
13 years 6 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
GI
2009
Springer
13 years 10 months ago
Tracking an Extended Object Modeled as an Axis-Aligned Rectangle
: In many tracking applications, the extent of the target object is neglected and it is assumed that the received measurements stem from a point source. However, modern sensors are...
Marcus Baum, Uwe D. Hanebeck