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» Driver Measurement: Methods and Applications
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CHES
2010
Springer
166views Cryptology» more  CHES 2010»
15 years 4 months ago
Algebraic Side-Channel Analysis in the Presence of Errors
Measurement errors make power analysis attacks difficult to mount when only a single power trace is available: the statistical methods that make DPA attacks so successful are not a...
Yossef Oren, Mario Kirschbaum, Thomas Popp, Avisha...
109
Voted
TITB
2008
151views more  TITB 2008»
15 years 3 months ago
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images
Segmentation of arterial wall boundaries from intravascular images is an important problem for many applications in the study of plaque characteristics, mechanical properties of t...
Gozde B. Unal, S. Bucher, Stephane G. Carlier, Gre...
123
Voted
PE
2007
Springer
112views Optimization» more  PE 2007»
15 years 3 months ago
Multicast inference of temporal loss characteristics
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Vijay Arya, Nick G. Duffield, Darryl Veitch
151
Voted
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
15 years 2 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
195
Voted
CVPR
2012
IEEE
13 years 5 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...