CISS
2010
IEEE
12 years 8 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 2 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 4 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 5 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 6 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 9 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
13 years 10 months 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
13 years 10 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 5 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 ...