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EMNLP
2009
15 years 1 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...
ICASSP
2011
IEEE
14 years 7 months ago
Combining HMM-based melody extraction and NMF-based soft masking for separating voice and accompaniment from monaural audio
Modern monaural voice and accompaniment separation systems usually consist of two main modules: melody extraction and timefrequency masking. A main distinction between different s...
Yun Wang, Zhijian Ou
ECCV
1992
Springer
16 years 5 months ago
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically signi cant...
Michael J. Black
ICPR
2006
IEEE
16 years 5 months ago
Face Recognition by Combining Kernel Associative Memory and Gabor Transforms
Kernel associative memory (KAM) has previously been proposed as an efficient scheme for face recognition. In this paper, a hybrid method of combining KAM and Gabor wavelet transfo...
Bailing Zhang, Clement Leung, Yongsheng Gao
ICML
2003
IEEE
16 years 4 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm