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» A Geometric Functional for Derivatives Approximation
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CVPR
2008
IEEE
14 years 4 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury
ISCAS
2003
IEEE
107views Hardware» more  ISCAS 2003»
14 years 3 months ago
Synthesis of a pulse-forming reactance network to shape a delayed quasi-rectangular pulse
—The paper describes synthesis of a reactance network shaping a delayed quasi-rectangular pulse when the input step voltage is applied. The derivative of the step response is app...
Igor M. Filanovsky, P. N. Matkhanov
NIPS
2003
13 years 11 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
EOR
2008
69views more  EOR 2008»
13 years 9 months ago
On the complexity of optimization over the standard simplex
We review complexity results for minimizing polynomials over the standard simplex and unit hypercube. In addition, we derive new results on the computational complexity of approxi...
E. de Klerk, Dick den Hertog, G. Elabwabi
INFOCOM
2010
IEEE
13 years 8 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu