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ACL
2011
14 years 8 months ago
Domain Adaptation for Machine Translation by Mining Unseen Words
We show that unseen words account for a large part of the translation error when moving to new domains. Using an extension of a recent approach to mining translations from compara...
Hal Daumé III, Jagadeesh Jagarlamudi
JEI
2008
100views more  JEI 2008»
15 years 4 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
ICASSP
2008
IEEE
15 years 11 months ago
Frequency domain selective tap adaptive algorithms for sparse system identification
We propose a new low complexity and fast converging frequencydomain adaptive algorithm for sparse system identification. This is achieved by exploiting the MMax and SP tap-select...
Andy W. H. Khong, Xiang Lin, Milos Doroslovacki, P...
VTC
2007
IEEE
15 years 11 months ago
Performance of Single-Carrier Frequency-Domain Adaptive Antenna Array
— The bit error rate (BER) performance of single-carrier (SC) transmission in a frequency-selective fading channel can be significantly improved by using frequency-domain equaliz...
Byeong-Woo Kang, Kazuaki Takeda, Fumiyuki Adachi
139
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UAI
2000
15 years 5 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling