1
Pubblicazione 2014
Sommario: ... -- Estimating Social Network Structure and Propagation Dynamics for an Infectious Disease -- Predicting Social...
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2
Pubblicazione 2007
Sommario: ... Using Geometric Representation of Gene Expression Microarray Data -- A Seed-Based Method for Predicting...
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3
Pubblicazione 2007
Sommario: ... -- Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles -- A Support Vector Method...
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4
Pubblicazione 2010
Sommario: ...Image Segmentation -- Automatic Segmentation of Neonatal Images Using Convex Optimization...
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5
Pubblicazione 2014
Sommario: ... Care -- Predicting the Benefit of Using CADe in Screening Mammography -- Modeling Breast Cancer...
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6
Pubblicazione 2012
Sommario: ... of Predictive Deviations as Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction...
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7
Pubblicazione 2012
Sommario: ... of Overcomplete Dictionary -- PEAQ Compatible Audio Quality Estimation Using Computational Auditory Model.- A...
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8
Pubblicazione 2012
Sommario: ...-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity...
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9
Pubblicazione 2013
Sommario: ... Method for Particle Tracking and Its Extension for Cell Segmentation -- A Multiple Model Probability...
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10
Pubblicazione 2008
Sommario: ... Tracking of 2D Generic Objects with Spacetime Optimization -- A Segmentation Based Variational Model...
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11
Pubblicazione 2013
Sommario: ... Local Coding for Object Recognition -- Semantic Segmentation with Millions of Features: Integrating...
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12
Pubblicazione 2006
Sommario: ... Models of Local Features -- Shape from X -- Differential Geometric Consistency Extends Stereo to Curved...
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13
Pubblicazione 2014
Sommario: ... Where to Classify in Multi-view Semantic Segmentation -- Semantics: A Medium-Level Model for Real-Time...
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14
Pubblicazione 2014
Sommario: ...-optimum estimators in a model with type-I constraints -- Hybrid Job scheduling Algorithm for Cloud...
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15
Pubblicazione 2015
Sommario: ... -- New Method for Obtaining Optimal Polygonal Approximations -- Noise Decomposition Using Polynomial...
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16
Pubblicazione 2015
Sommario: ... -- New Method for Obtaining Optimal Polygonal Approximations -- Noise Decomposition Using Polynomial...
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17
Pubblicazione 2005
Sommario: ... Tensor Images Segmentation -- Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity...
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18
Pubblicazione 2007
Sommario: ... Model with Error Correction -- Bayesian Hyperspectral Image Segmentation with Discriminative Class...
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19
Pubblicazione 2012
Sommario: ... Prediction Accuracy Improvement Method Based on the Gray GM(1,1) Model -- A Group Decision Making Procedure...
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20
Pubblicazione 2006
Sommario: ... and Polar Color Models -- Image Segmentation -- A Shape-Based Approach to Robust Image Segmentation -- Novel...
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