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» Recent advances in computational models of natural argument
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EMNLP
2010
15 years 4 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 6 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
ICCAD
2004
IEEE
147views Hardware» more  ICCAD 2004»
16 years 3 months ago
Interval-valued reduced order statistical interconnect modeling
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
James D. Ma, Rob A. Rutenbar
ASPDAC
2006
ACM
157views Hardware» more  ASPDAC 2006»
16 years 5 days ago
Delay modeling and static timing analysis for MTCMOS circuits
- One of the critical issues in MTCMOS design is how to estimate a circuit delay quickly. In this paper, we propose a delay modeling and static timing analysis (STA) methodology ta...
Naoaki Ohkubo, Kimiyoshi Usami
CVPR
2012
IEEE
13 years 8 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji