Sciweavers

4584 search results - page 236 / 917
» Sequential parameter optimization
Sort
View
121
Voted
CVPR
2009
IEEE
16 years 10 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
101
Voted
CVPR
2003
IEEE
16 years 4 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
115
Voted
GLOBECOM
2006
IEEE
15 years 8 months ago
Receiver Directed Adaptation of Multicode CDMA Transmission for Frequency-Selective Rayleigh Fading Channels
— Future wireless communication systems require highly efficient use of radio parameters. Adaptability to changing environment conditions and to service application requirements ...
Armelle Wautier, Lionel Husson, Jacques Antoine
111
Voted
ISCAS
2003
IEEE
109views Hardware» more  ISCAS 2003»
15 years 8 months ago
Rate control for advance video coding (AVC) standard
Rate control plays a very important role in constant bit rate (CBR) coding. AVC standard is jointly developed by ISO and ITU-T, which contains several inter and intra prediction m...
Siwei Ma, Wen Gao, Peng Gao, Yan Lu
139
Voted
ECML
2006
Springer
15 years 6 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi