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» Maximal Vector Computation in Large Data Sets
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ICCV
2007
IEEE
15 years 11 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
ISVC
2007
Springer
15 years 3 months ago
Locally Adjustable Interpolation for Meshes of Arbitrary Topology
Abstract: A new method for constructing a smooth surface that interpolates the vertices of an arbitrary mesh is presented. The mesh can be open or closed. Normals specified at ver...
Shuhua Lai, Fuhua (Frank) Cheng, Fengtao Fan
VALUETOOLS
2006
ACM
125views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
An approximative method for calculating performance measures of Markov processes
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...
Juha Leino, Jorma T. Virtamo
EUROPAR
2005
Springer
15 years 3 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
EWCBR
2004
Springer
15 years 3 months ago
Case-Based Object Recognition
Model-based object recognition is a well-known task in Computer Vision. Usually, one object that can be generalized by a model should be detected in an image based on this model. B...
Petra Perner, Angela Bühring