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ICPR
2004
IEEE
16 years 29 days ago
Training of Classifiers Using Virtual Samples Only
This paper describes the training of classifiers entirely based on virtual images, rendered by a ray-tracing software. Two classifiers, a support vector machine and a polynomial c...
Annika Kuhl, Lars Krüger, Christian Wöhl...
ACL
2008
15 years 1 months ago
Kernels on Linguistic Structures for Answer Extraction
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
Alessandro Moschitti, Silvia Quarteroni
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
15 years 5 months ago
Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
Shingo Uchihashi, Takeo Kanade
JMLR
2008
84views more  JMLR 2008»
14 years 12 months ago
LIBLINEAR: A Library for Large Linear Classification
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line ...
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-R...
CIDM
2009
IEEE
15 years 6 months ago
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
—  Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
Hamoud I. Aljamaan, Mahmoud O. Elish