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» Domain Adaptation: A Small Sample Statistical Approach
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DAGM
2011
Springer
13 years 11 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
84
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RAS
2002
92views more  RAS 2002»
14 years 11 months ago
Information Sampling for vision-based robot navigation
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
Niall Winters, José Santos-Victor
EVOW
2003
Springer
15 years 5 months ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 1 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
ISBI
2007
IEEE
15 years 6 months ago
Statistically-Constrained Deformable Registration of Mr Brain Images
Statistical models of deformations (SMD) capture the variability of deformations of a group of sample images, and they are often used to constrain deformable registration, thereby...
Zhong Xue, Dinggang Shen