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JMLR
2010
211views more  JMLR 2010»
14 years 4 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ICASSP
2011
IEEE
14 years 1 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
EMMCVPR
2005
Springer
15 years 3 months ago
Increasing Efficiency of SVM by Adaptively Penalizing Outliers
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
Yiqiang Zhan, Dinggang Shen
CPE
1998
Springer
81views Hardware» more  CPE 1998»
15 years 1 months ago
Experiments with Improved Approximate Mean Value Analysis Algorithms
Abstract. Approximate Mean Value Analysis (MVA) is a popular technique for analyzing queueing networks because of the efficiency and accuracy that it affords. In this paper, we pre...
Hai Wang, Kenneth C. Sevcik
NJC
2006
125views more  NJC 2006»
14 years 9 months ago
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms
Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and...
Assefaw Hadish Gebremedhin, Mohamed Essaïdi, ...