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CVPR
2010
IEEE
15 years 5 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
63
Voted
NIPS
2003
14 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
IOR
2008
103views more  IOR 2008»
14 years 9 months ago
Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation
We consider the risk of a portfolio comprised of loans, bonds, and financial instruments that are subject to possible default. In particular, we are interested in performance meas...
Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi
DAC
1995
ACM
15 years 1 months ago
Extreme Delay Sensitivity and the Worst-Case Switching Activity in VLSI Circuits
Abstract We observe that the switching activity at a circuit node, also called the transition density, can be extremely sensitive to the circuit internal delays. As a result, sligh...
Farid N. Najm, Michael Y. Zhang
AUTOMATICA
2006
88views more  AUTOMATICA 2006»
14 years 9 months ago
Exact computation of amplification for a class of nonlinear systems arising from cellular signaling pathways
A commonly employed measure of the signal amplification properties of an input/output system is its induced L2 norm, sometimes also known as H gain. In general, however, it is ext...
Eduardo D. Sontag, Madalena Chaves