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» On Combining Dissimilarity Representations
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IJON
2007
117views more  IJON 2007»
15 years 5 months ago
Learning sensory representations with intrinsic plasticity
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
Nicholas Butko, Jochen Triesch
TSP
2008
131views more  TSP 2008»
15 years 5 months ago
Causal Compensation for Erasures in Frame Representations
In a variety of signal processing and communications contexts, erasures occur inadvertently or can be intentionally introduced as part of a data reduction strategy. This paper disc...
Petros Boufounos, Alan V. Oppenheim, Vivek K. Goya...
145
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EMNLP
2010
15 years 3 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
ICASSP
2009
IEEE
15 years 3 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 9 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin