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ICONIP
2004
13 years 9 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
ACL
2010
13 years 5 months ago
Error Detection for Statistical Machine Translation Using Linguistic Features
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
Deyi Xiong, Min Zhang, Haizhou Li
FSKD
2009
Springer
103views Fuzzy Logic» more  FSKD 2009»
14 years 9 days ago
The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes
—This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of Boosting algorithms based on dynamic weighting schemes. It is ...
Xinzhu Yang, Bo Yuan, Wenhuang Liu

Publication
1851views
15 years 8 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...