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» Algorithms for Index-Assisted Selectivity Estimation
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114
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ICIP
2009
IEEE
14 years 10 months ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim
BMCBI
2007
128views more  BMCBI 2007»
15 years 14 days ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
100
Voted
GLVLSI
2007
IEEE
158views VLSI» more  GLVLSI 2007»
15 years 2 months ago
RT-level vector selection for realistic peak power simulation
We present a vector selection methodology for estimating the peak power dissipation in a CMOS logic circuit. The ultimate goal is to combine the speed of RT-level simulation with ...
Chia-Chien Weng, Ching-Shang Yang, Shi-Yu Huang
100
Voted
NIPS
2000
15 years 1 months ago
Automatic Choice of Dimensionality for PCA
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
Thomas P. Minka
93
Voted
BMCBI
2004
127views more  BMCBI 2004»
15 years 10 days ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...