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285views
15 years 5 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
ICB
2009
Springer
159views Biometrics» more  ICB 2009»
15 years 8 months ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
MASS
2010
159views Communications» more  MASS 2010»
14 years 8 months ago
Efficient WiFi deployment algorithms based on realistic mobility characteristics
Abstract--Recent years have witnessed the emergence of numerous new Internet services for mobile users. Supporting mobile applications via public WiFi networks has received signifi...
Tian Wang, Guoliang Xing, Minming Li, Weijia Jia
GIS
2007
ACM
15 years 5 months ago
Optimal traversal planning in road networks with navigational constraints
A frequent query in geospatial planning and decision making domains (e.g., emergency response, data acquisition, street cleaning), is to find an optimal traversal plan (OTP) that ...
Leyla Kazemi, Cyrus Shahabi, Mehdi Sharifzadeh, Lu...
PAMI
2010
417views more  PAMI 2010»
14 years 12 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai