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IOR
2006
163views more  IOR 2006»
13 years 7 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
SIGCOMM
2000
ACM
13 years 11 months ago
Trajectory sampling for direct traffic observation
Traffic measurement is a critical component for the control and engineering of communication networks. We argue that traffic measurement should make it possible to obtain the spati...
Nick G. Duffield, Matthias Grossglauser
PR
2006
113views more  PR 2006»
13 years 7 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
ICPR
2008
IEEE
14 years 2 months ago
Support Vector Data Description for image categorization from Internet images
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
Xiaodong Yu, Daniel DeMenthon, David S. Doermann
ICASSP
2009
IEEE
14 years 2 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...