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» A Novel Framework for Discovering Robust Cluster Results
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ICDE
2010
IEEE
222views Database» more  ICDE 2010»
13 years 7 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
PCM
2007
Springer
150views Multimedia» more  PCM 2007»
14 years 3 months ago
Robust Speaking Face Identification for Video Analysis
We investigate the problem of automatically identifying speaking faces for video analysis using only the visual information. Intuitively, mouth should be first accurately located i...
Yi Wu, Wei Hu, Tao Wang, Yimin Zhang, Jian Cheng, ...
ICPR
2010
IEEE
13 years 7 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
CVPR
2011
IEEE
13 years 17 days ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter