Sciweavers

267 search results - page 29 / 54
» Employing classifying terms for testing model transformation...
Sort
View
SIGCOMM
2012
ACM
11 years 11 months ago
AutoNetkit: simplifying large scale, open-source network experimentation
We present a methodology that brings simplicity to large and comt labs by using abstraction. The networking community has appreciated the value of large scale test labs to explore...
Simon Knight, Askar Jaboldinov, Olaf Maennel, Iain...
SIGIR
2008
ACM
13 years 8 months ago
Bilingual topic aspect classification with a few training examples
This paper explores topic aspect (i.e., subtopic or facet) classification for English and Chinese collections. The evaluation model assumes a bilingual user who has found document...
Yejun Wu, Douglas W. Oard
JMLR
2012
11 years 11 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
CVPR
2007
IEEE
14 years 10 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
ISBI
2007
IEEE
14 years 2 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...