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» Comparing distributions and shapes using the kernel distance
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CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
14 years 10 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
85
Voted
BIOCOMP
2008
14 years 11 months ago
Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
CVPR
2007
IEEE
15 years 11 months ago
Face Recognition Using Kernel Ridge Regression
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
Senjian An, Wanquan Liu, Svetha Venkatesh
ICASSP
2011
IEEE
14 years 1 months ago
Compact support kernels based time-frequency distributions: Performance evaluation
This paper presents two new time-frequency distributions based on kernels with compact support (KCS) namely the separable CB (SCB) and the polynomial CB (PCB) TFDs. The implementa...
Mansour Abed, Adel Belouchrani, Mohamed Cheriet, B...
PPSN
2010
Springer
14 years 7 months ago
Comparison-Based Optimizers Need Comparison-Based Surrogates
Abstract. Taking inspiration from approximate ranking, this paper investigates the use of rank-based Support Vector Machine as surrogate model within CMA-ES, enforcing the invarian...
Ilya Loshchilov, Marc Schoenauer, Michèle S...