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JMLR
2012
11 years 11 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
DRR
2008
13 years 10 months ago
Efficient implementation of local adaptive thresholding techniques using integral images
Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
DAGM
2003
Springer
14 years 1 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
ICPR
2000
IEEE
14 years 9 months ago
Statistical Motion-Based Object Indexing Using Optic Flow Field
In this paper, we propose an original approach for content-based video indexing and retrieval. It relies on the tracking of entities of interest and the analysis of their apparent...
Ronan Fablet, Patrick Bouthemy
ICML
2005
IEEE
14 years 9 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan