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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 1 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
TVLSI
2010
14 years 8 months ago
Exploration of Heterogeneous FPGAs for Mapping Linear Projection Designs
In many applications, a reduction of the amount of the original data or a representation of the original data by a small set of variables is often required. Among many techniques, ...
Christos-Savvas Bouganis, Iosifina Pournara, Peter...
JMLR
2012
13 years 3 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
AAAI
2012
13 years 3 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
ICRA
2007
IEEE
158views Robotics» more  ICRA 2007»
15 years 7 months ago
Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity
— This paper presents a vision-based approach to SLAM in large-scale environments with minimal sensing and computational requirements. The approach is based on a graphical repres...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...