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» Robust estimation for sparse data
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LREC
2010
137views Education» more  LREC 2010»
14 years 11 months ago
Handling of Missing Values in Lexical Acquisition
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Núria Bel
ICA
2007
Springer
15 years 4 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
ICML
2010
IEEE
14 years 11 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
ACIVS
2005
Springer
15 years 3 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
ACCV
2006
Springer
15 years 3 months ago
Extrinsic Camera Parameter Estimation Based-on Feature Tracking and GPS Data
Abstract. This paper describes a novel method for estimating extrinsic camera parameters using both feature points on an image sequence and sparse position data acquired by GPS. Ou...
Yuji Yokochi, Sei Ikeda, Tomokazu Sato, Naokazu Yo...