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» Learning the Relative Importance of Features in Image Data
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GW
2003
Springer
122views Biometrics» more  GW 2003»
15 years 10 months ago
Recovering Articulated Motion with a Hierarchical Factorization Method
Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization met...
Hanning Zhou, Thomas S. Huang
TIP
1998
111views more  TIP 1998»
15 years 4 months ago
Texture information in run-length matrices
Abstract—We use a multilevel dominant eigenvector estimation algorithm to develop a new run-length texture feature extraction algorithm that preserves much of the texture informa...
Xiaoou Tang
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 10 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
BMCBI
2010
153views more  BMCBI 2010»
15 years 4 months ago
Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay used for investigating DNA-protein-binding or post-translational chromatin/histone ...
Benedikt Zacher, Pei Fen Kuan, Achim Tresch
LREC
2010
155views Education» more  LREC 2010»
15 years 6 months ago
Automatic Acquisition of Chinese Novel Noun Compounds
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method t...
Meng Wang, Chu-Ren Huang, Shiwen Yu, Weiwei Sun