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» Improving object classification using semantic attributes
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ICSE
1997
IEEE-ACM
14 years 9 hour ago
Characterizing and Modeling the Cost of Rework in a Library of Reusable Software Components
1 In this paper we characterize and model the cost of rework in a Component Factory (CF) organization. A CF is responsible for developing and packaging reusable software components...
Victor R. Basili, Steven E. Condon, Khaled El Emam...
GRC
2010
IEEE
13 years 5 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...
ER
2006
Springer
112views Database» more  ER 2006»
13 years 11 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder
ICIAP
2009
ACM
14 years 8 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
SIGGRAPH
2010
ACM
13 years 8 months ago
Motion regularization for matting motion blurred objects
Abstract-- This paper addresses the problem of matting motion blurred objects from a single image. Existing single-image matting methods are designed to extract static objects that...
Hai Ting Lin, Yu-Wing Tai, Michael S. Brown