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TASLP
2011
13 years 4 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
IPMI
2007
Springer
14 years 10 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
ENGL
2007
73views more  ENGL 2007»
13 years 9 months ago
Cognitive Design Features on Traffic Signs
—The success of effective communication of traffic sign messages to road users may not only relate to the user characteristics but also the signs themselves. The purpose of this ...
Annie W. Y. Ng, Alan H. S. Chan
KDD
2004
ACM
146views Data Mining» more  KDD 2004»
14 years 9 months ago
Using Hyperlink Features to Personalize Web Search
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored ...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
JCIT
2010
184views more  JCIT 2010»
13 years 3 months ago
A Cell Projection Algorithm Based on Feature Region Segmentation and Cells Sorting
Because of the complexity of the human structure, and the irregularity of the human tissues, and the discrepancy of human individuality, segmenting and rendering 3D medical data f...
Li Xinwu