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» A Fast Optimization Method for Level Set Segmentation
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CASES
2006
ACM
15 years 10 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
172
Voted
AAAI
2012
13 years 7 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
169
Voted
ICPR
2006
IEEE
16 years 5 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
CORR
2010
Springer
275views Education» more  CORR 2010»
15 years 4 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
SIGIR
2005
ACM
15 years 10 months ago
Robustness of adaptive filtering methods in a cross-benchmark evaluation
This paper reports a cross-benchmark evaluation of regularized logistic regression (LR) and incremental Rocchio for adaptive filtering. Using four corpora from the Topic Detection...
Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel