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ICIP
2009
IEEE
13 years 6 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
ACL
1990
13 years 10 months ago
Computational Structure of Generative Phonology and its Relation to Language Comprehension
We analyse the computational complexity of phonological models as they have developed over the past twenty years. The major results ate that generation and recognition are undecid...
Eric Sven Ristad
BIB
2008
93views more  BIB 2008»
13 years 9 months ago
A structured approach for the engineering of biochemical network models, illustrated for signalling pathways
Quantitative models of biochemical networks (signal transduction cascades, metabolic pathways, gene regulatory circuits) are a central component of modern systems biology. Buildin...
Rainer Breitling, David Gilbert, Monika Heiner, Ri...
SPIN
2005
Springer
14 years 2 months ago
Repairing Structurally Complex Data
We present a novel algorithm for repairing structurally complex data. Given an assertion that represents desired structural integrity constraints and a structure that violates them...
Sarfraz Khurshid, Iván García, Yuk L...
IJCNLP
2004
Springer
14 years 2 months ago
Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset
The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at different levels. The ot...
Deyi Xiong, Hongkui Yu, Qun Liu