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» Feature versus model based noise robustness
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BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
BMVC
2010
13 years 5 months ago
Patch-Cuts: A Graph-Based Image Segmentation Method Using Patch Features and Spatial Relations
In this paper, we present a graph-based image segmentation method (patch-cuts) that incorporates features and spatial relations obtained from image patches. In the first step, pat...
Gerd Brunner, Deepak Roy Chittajallu, Uday Kurkure...
ICASSP
2010
IEEE
13 years 7 months ago
Robust speaker identification using an auditory-based feature
An auditory-based feature extraction algorithm is presented. The feature is based on a recently published time-frequency transform plus a set of modules to simulate the signal pro...
Qi Li, Yan Huang
CORR
2000
Springer
96views Education» more  CORR 2000»
13 years 7 months ago
Robustness of Regional Matching Scheme over Global Matching Scheme
Analyzing the effect of concentrated noise on a typical decision-making process of a simplified two-candidate voting model, we have demonstrated that a local approach using a regi...
Liang Chen, Naoyuki Tokuda
ICASSP
2011
IEEE
12 years 11 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...