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» Variational methods for the Dirichlet process
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126
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VLSISP
2010
254views more  VLSISP 2010»
14 years 7 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
110
Voted
ISBI
2011
IEEE
14 years 1 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
ICIP
2008
IEEE
15 years 11 months ago
Coding-gain-based complexity control for H.264 video encoder
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...
Ming-Chen Chien, Zong-Yi Chen, Pao-Chi Chang
GIS
2007
ACM
15 years 10 months ago
Robust location search from text queries
Robust, global, address geocoding is challenging because there is no single address format that applies to all geographies, and in any case, users may not restrict themselves to w...
Vibhuti S. Sengar, Tanuja Joshi, Joseph Joy, Samar...
ICASSP
2007
IEEE
15 years 3 months ago
Fast Line-Based Imaging of Small Sample Features
This project aims to reduce the time required to attain more detailed scans of small interesting regions present in a quick first-pass sample image. In particular, we concentrate...
Mark A. Iwen, Gurjit S. Mandair, Michael D. Morris...