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» A New Indexing Method for High Dimensional Dataset
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CVIU
2006
158views more  CVIU 2006»
15 years 23 days ago
Sequential mean field variational analysis of structured deformable shapes
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...
Gang Hua, Ying Wu
ICASSP
2010
IEEE
15 years 28 days ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
125
Voted
ICCV
2011
IEEE
14 years 23 days ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
107
Voted
JCB
2006
79views more  JCB 2006»
15 years 21 days ago
A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces
The task of finding saddle points on potential energy surfaces plays a crucial role in understanding the dynamics of a micromolecule as well as in studying the folding pathways of...
Chandan K. Reddy, Hsiao-Dong Chiang
89
Voted
ISBI
2006
IEEE
16 years 1 months ago
Joint estimation in MRI using harmonic retrieval methods
One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultane...
Hien M. Nguyen, Robert L. Morrison Jr., Bradley P....