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» Using Problems to Learn Service-Oriented Computing
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ICPR
2006
IEEE
16 years 5 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
138
Voted
RECOMB
2007
Springer
16 years 5 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
ICPR
2010
IEEE
15 years 11 months ago
Boosting Gray Codes for Red Eyes Removal
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the red-eyes artifacts have de-facto become a critical problem. The technique he...
Sebastiano Battiato, Giovanni Maria Farinella, Mir...
ICCS
2007
Springer
15 years 10 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
MFCS
2007
Springer
15 years 10 months ago
Evolvability
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
Leslie G. Valiant