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» A Model Selection Approach for Local Learning
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CVPR
2006
IEEE
14 years 10 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
ICCV
2007
IEEE
14 years 3 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
MSWIM
2006
ACM
14 years 2 months ago
The power of choice in random walks: an empirical study
In recent years different authors have proposed the used of random-walk-based algorithms for varying tasks in the networking community. These proposals include searching, routing...
Chen Avin, Bhaskar Krishnamachari
TNN
2010
171views Management» more  TNN 2010»
13 years 3 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
CODES
1999
IEEE
14 years 29 days ago
An MPEG-2 decoder case study as a driver for a system level design methodology
We present a case study on the design of a heterogeneous architecture for MPEG-2 video decoding. The primary objective of the case study is the validation of the SPADE methodology...
Pieter van der Wolf, Paul Lieverse, Mudit Goel, Da...