Paper Title:
Energy Based Large Margin Classification of Gaussian Mixture Model
  Abstract

Large margin GMMs have many parallels to large margin nearest neighbors (LMNN), but with classes modeled by ellipsoids instead of each input data and its target neighbors by hyper-ellipsoid. Large margin GMMs naturally scales to large problems in multi-way classification. Based on large margin GMM classification, we develop a new classification method, i.e., energy based large margin classification of Gaussian mixture mode (ELM-GMM). Experiment shows that this new approach outperforms the large margin GMMs.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
1601-1604
DOI
10.4028/www.scientific.net/AMR.271-273.1601
Citation
C. G. Zhao, "Energy Based Large Margin Classification of Gaussian Mixture Model", Advanced Materials Research, Vols. 271-273, pp. 1601-1604, 2011
Online since
July 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Sheng Wang, Jun Li Li, Yang Lou
Abstract:This paper proposed the concept of centroid in particle swarm optimization which is similar to physical centroid properties of objects....
929
Authors: Chun Feng Liu, Xiao Li Meng, Huan Cheng Zhang
Abstract:By giving a centroid algorithm to extract pixel coordinates of each circle in the center of a circle under the coordinates, through the...
473
Authors: Xin Lai Tang, Xiao Rong Wang, Meng Wang
Abstract:This paper proposes a special text summarization method based on hybrid parallel genetic algorithm. The idea of our approach is to obtain...
1073
Authors: Rui Luo, Ping Chen, Ting Yang, Hui Zong Zhang, Ping Li, Ya Wu Zeng
Chapter 1: Material Science and Technology
Abstract:The tomography of the gravel was obtained by the CT scanning technology to reconstruct the DEM models. Simultaneously, dimensional...
488
Authors: Qi Yang, Sheng Hai Hu, Jian Jun Yao
Chapter 1: Mechatronics
Abstract:The concept of dynamic directional manipulability is taken as an evaluating index of jumping performance to quest for improvement of the...
961