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MMM
2007
Springer
114views Multimedia» more  MMM 2007»
15 years 4 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
ICML
2004
IEEE
15 years 10 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
MICCAI
2008
Springer
15 years 11 months ago
Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures
We present a framework for hypothesis testing of differences between groups of DTI fiber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the...
Casey Goodlett, P. Thomas Fletcher, John H. Gilm...
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 3 months ago
Investigating the success of spatial coevolution
We investigate the results of coevolution of spatially distributed populations. In particular, we describe work in which a simple function approximation problem is used to compare...
Nathan Williams, Melanie Mitchell
IPSN
2010
Springer
15 years 4 months ago
Consensus-based distributed linear support vector machines
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...