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» Scenario based Analysis of Linear Computations
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139
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ICPR
2006
IEEE
16 years 4 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
143
Voted
CVPR
2010
IEEE
15 years 12 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
135
Voted
IWCM
2004
Springer
15 years 9 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
129
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DAC
2005
ACM
15 years 5 months ago
How accurately can we model timing in a placement engine?
This paper presents a novel placement algorithm for timing optimization based on a new and powerful concept, which we term differential timing analysis. Recognizing that accurate ...
Amit Chowdhary, Karthik Rajagopal, Satish Venkates...
128
Voted
DAS
2010
Springer
15 years 7 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt