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» A Bayesian Approach to Tackling Hard Computational Problems
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CVPR
2009
IEEE
15 years 6 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
VLSI
2007
Springer
14 years 4 months ago
Fast estimation of software energy consumption using IPI(Inter-Prefetch Interval) energy model
In this paper, we present the way of fast and accurate estimation of software energy consumption in off-the-shelf processor using IPI(Inter-Prefetch Interval) energy model. In ou...
Jungsoo Kim, Kyungsu Kang, Heejun Shim, Woong Hwan...
PRL
2010
188views more  PRL 2010»
13 years 5 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
CONEXT
2006
ACM
14 years 4 months ago
SNARE: sensor node attached reputation evaluator
Secure routing in wireless sensor networks (WSN) is a crucial problem that has drawn the attention of researchers. The motivation for tackling this problem comes directly from the...
Ismat K. Maarouf, A. R. Naseer
EMMCVPR
2001
Springer
14 years 3 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino