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» On Comparing Statistical and Set-Based Methods in Sensor Dat...
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JCP
2008
157views more  JCP 2008»
13 years 7 months ago
A New Information Fusion Method for Bimodal Robotic Emotion Recognition
Emotion recognition has become a popular area in human-robot interaction research. Through recognizing facial expressions, a robot can interact with a person in a more friendly man...
Meng-Ju Han, Jing-Huai Hsu, Kai-Tai Song, Fuh-Yu C...
INFFUS
2011
82views more  INFFUS 2011»
12 years 11 months ago
Joint ego-motion and road geometry estimation
We provide a sensor fusion framework for solving the problem of joint ego-motion and road geometry estimation. More specifically we employ a sensor fusion framework to make syste...
Christian Lundquist, Thomas B. Schön
VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 7 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
JUCS
2010
164views more  JUCS 2010»
13 years 6 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...