638 search results - page 55 / 128 » A Training Method with Small Computation for Classification |
111
Voted
ANCS
2006
ACM
15 years 6 months ago
2006
ACM
While the problem of high performance packet classification has received a great deal of attention in recent years, the research community has yet to develop algorithmic methods t...
143
Voted
CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
The primary and novel contribution of this work is the conjecture that large collections of georeferenced photo collections can be used to derive maps of what-is-where on the surf...
114
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
177
Voted
ACCV
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
118
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...