Sciweavers

149 search results - page 5 / 30
» The Derivational Complexity Induced by the Dependency Pair M...
Sort
View
ICIP
1997
IEEE
14 years 9 months ago
Complexity-Regularized Image Denoising
We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
Juan Liu, Pierre Moulin
ICDAR
2005
IEEE
14 years 1 months ago
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
Jie Zhou, Ching Y. Suen
BICOB
2009
Springer
14 years 2 months ago
Assembly of Large Genomes from Paired Short Reads
The de novo assembly of genomes from high-throughput short reads is an active area of research. Several promising methods have been recently developed, with applicability mainly re...
Benjamin G. Jackson, Patrick S. Schnable, Srinivas...
IHI
2010
109views Healthcare» more  IHI 2010»
13 years 2 months ago
Process-based derivation of requirements for medical devices
One goal of medical device certification is to show that a given medical device satisfies its requirements. The requirements that should be met by a device, however, depend on the...
Heather M. Conboy, George S. Avrunin, Lori A. Clar...
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...