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ICONIP
2004
13 years 7 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 5 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 3 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»
13 years 10 months 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 6 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...