CISS
2010
IEEE
12 years 11 months ago
2010
IEEE
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
ACL
2010
13 years 5 months ago
2010
We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical machine translation. We propose two probabilistic models, based on conditional and joint pr...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
UAI
1989
13 years 8 months ago
1989
In this paper, the feasibility of using finite totally ordered probability models under Aleliunas’s Theory of Probabilistic Logic [Aleliunas, 1988] is investigated. The general...
ACL
2006
13 years 8 months ago
2006
We revisit the idea of history-based parsing, and present a history-based parsing framework that strives to be simple, general, and flexible. We also provide a decoder for this pr...
IDA
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
MCS
2005
Springer
14 years 28 days ago
2005
Springer
Mixed Group Ranks is a parametric method for combining rank based classi ers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
DASFAA
2005
IEEE
14 years 1 months ago
2005
IEEE
In many different application areas, e.g. space observation systems or engineering systems of world-wide operating companies, there is a need for an efficient distributed intersect...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...