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» Bagging with Adaptive Costs
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IPSN
2005
Springer
14 years 1 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
ACCV
2010
Springer
13 years 2 months ago
A Unified Approach to Segmentation and Categorization of Dynamic Textures
Dynamic textures (DT) are videos of non-rigid dynamical objects, such as fire and waves, which constantly change their shape and appearance over time. Most of the prior work on DT ...
Avinash Ravichandran, Paolo Favaro, René Vi...
ICDE
2006
IEEE
181views Database» more  ICDE 2006»
14 years 9 months ago
Adaptive Reorganization of Coherency-Preserving Dissemination Tree for Streaming Data
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...
Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Feng Y...
ICWS
2010
IEEE
13 years 9 months ago
Towards Data-Aware QoS-driven Adaptation for Service Orchestrations
Several activities in service oriented computing can benefit from the knowledge of properties of a given service composition ahead of time. We will focus here on properties related...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
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