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IJCAT
2010
133views more  IJCAT 2010»
15 years 5 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...
ICSM
2006
IEEE
16 years 17 days ago
Software Feature Understanding in an Industrial Setting
Software Engineers frequently need to locate and understand the code that implements a specific user feature of a large system. This paper reports on a study by Motorola Inc. and ...
Michael Jiang, Michael Groble, Sharon Simmons, Den...
BMCBI
2004
133views more  BMCBI 2004»
15 years 6 months ago
Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms
Background: Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increas...
Qinghua Cui, Tianzi Jiang, Bing Liu, Songde Ma
GEOS
2007
Springer
16 years 21 days ago
Structure-Based Methods to Enhance Geospatial Ontology Alignment
In geospatial applications with heterogeneous classification schemes that describe related domains, an ontology-driven approach to data sharing and interoperability relies on the ...
William Sunna, Isabel F. Cruz
TIT
2008
102views more  TIT 2008»
15 years 6 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo