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» Adaptation of SIFT Features for Robust Face Recognition
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ICRA
2008
IEEE
194views Robotics» more  ICRA 2008»
13 years 12 months ago
A new variable stiffness design: Matching requirements of the next robot generation
— Facing new tasks, the conventional rigid design of robotic joints has come to its limits. Operating in unknown environments current robots are prone to failure when hitting unf...
Sebastian Wolf, Gerd Hirzinger
RTAS
2011
IEEE
12 years 9 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
BMCBI
2008
122views more  BMCBI 2008»
13 years 5 months ago
Effects of dependence in high-dimensional multiple testing problems
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Kyung In Kim, Mark A. van de Wiel
MOBIHOC
2004
ACM
14 years 5 months ago
Frequency rolling: a cooperative frequency hopping for mutually interfering wpans
A Wireless Personal Area Network (WPAN) provides wireless links among proximate devices, usually carried by an individual. As WPAN gains momentum in ubiquitous usage, the interfer...
Petar Popovski, Hiroyuki Yomo, Sebastien Aprili
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 5 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang