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» On Combining Dissimilarity Representations
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IJON
2007
117views more  IJON 2007»
13 years 8 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»
13 years 8 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...
EMNLP
2010
13 years 6 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
13 years 6 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»
12 years 12 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