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COLING
2010
14 years 9 months ago
Kernel-based Reranking for Named-Entity Extraction
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
123
Voted
JMLR
2010
165views more  JMLR 2010»
14 years 9 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
TIT
2010
174views Education» more  TIT 2010»
14 years 9 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
CISS
2010
IEEE
14 years 6 months ago
Concentration of measure for block diagonal matrices with repeated blocks
Abstract—The theoretical analysis of randomized compressive operators often relies on the existence of a concentration of measure inequality for the operator of interest. Though ...
Christopher J. Rozell, Han Lun Yap, Jae Young Park...
162
Voted
ESA
2011
Springer
251views Algorithms» more  ESA 2011»
14 years 2 months ago
Improved Approximation Algorithms for Bipartite Correlation Clustering
In this work we study the problem of Bipartite Correlation Clustering (BCC), a natural bipartite counterpart of the well studied Correlation Clustering (CC) problem. Given a bipart...
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke...