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» Invariances in kernel methods: From samples to objects
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DAGM
2009
Springer
14 years 26 days ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
ISBI
2008
IEEE
14 years 9 months ago
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging
The cortical folding patterns are very different from one individual to another. Here we try to find folding patterns automatically using large-scale datasets by non-supervised cl...
Zhong Yi Sun, Denis Rivière, Edouard Duches...
AVSS
2007
IEEE
14 years 3 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With
ICARCV
2002
IEEE
149views Robotics» more  ICARCV 2002»
14 years 1 months ago
A fast method to simulate virtual deformable objects with force feedback
In this paper, we propose solutions to real time simulation and interaction of deformable objects in virtual reality. Firstly, we present LEM - Long Element Method, a method creat...
Kenneth Sundaraj, César Mendoza, Christian ...
BMCBI
2007
154views more  BMCBI 2007»
13 years 9 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato