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ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ICCV
1995
IEEE
15 years 10 months ago
3D Human Body Model Acquisition from Multiple Views
We present a novel motion-based approach for the part determination and shape estimation of a human’s body parts. The novelty of the technique is that neither a prior model of t...
Ioannis A. Kakadiaris, Dimitris N. Metaxas
DAC
2005
ACM
15 years 8 months ago
Total power reduction in CMOS circuits via gate sizing and multiple threshold voltages
Minimizing power consumption is one of the most important objectives in IC design. Resizing gates and assigning different Vt’s are common ways to meet power and timing budgets. ...
Feng Gao, John P. Hayes
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
15 years 8 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
APBC
2004
107views Bioinformatics» more  APBC 2004»
15 years 8 months ago
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparing samples (e.g., tissue types or experimental conditions). Application of a sta...
Somnath Datta, Susmita Datta