Sciweavers

GECCO
2003
Springer
13 years 9 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
CIKM
2003
Springer
13 years 9 months ago
The power-method: a comprehensive estimation technique for multi-dimensional queries
Existing estimation approaches for multi-dimensional databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Mo...
Yufei Tao, Christos Faloutsos, Dimitris Papadias
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
13 years 9 months ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue
ISCAS
2003
IEEE
123views Hardware» more  ISCAS 2003»
13 years 9 months ago
Fast prototyping of reconfigurable architectures from a C program
Rapid evaluation and design space exploration at the algorithmic level are important issues in the design cycle. In this paper we propose an original area vs delay estimation meth...
Sebastien Bilavarn, Guy Gogniat, Jean Luc Philippe...
VLDB
2004
ACM
180views Database» more  VLDB 2004»
13 years 10 months ago
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates
Cost-based XML query optimization calls for accurate estimation of the selectivity of path expressions. Some other interactive and internet applications can also benefit from suc...
Wei Wang 0011, Haifeng Jiang, Hongjun Lu, Jeffrey ...
IWCM
2004
Springer
13 years 10 months ago
Optimal Filters for Extended Optical Flow
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear models. Accuracy of this estimation heavily depends on t...
Hanno Scharr
IWCM
2004
Springer
13 years 10 months ago
Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions
Abstract. Motion estimation is essential in a variety of image processing and computer vision tasks, like video coding, tracking, directional filtering and denoising, scene analys...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth
IPSN
2004
Springer
13 years 10 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
ISLPED
2004
ACM
153views Hardware» more  ISLPED 2004»
13 years 10 months ago
Any-time probabilistic switching model using bayesian networks
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
Shiva Shankar Ramani, Sanjukta Bhanja
VLSM
2005
Springer
13 years 10 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...