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» SMEM Algorithm for Mixture Models
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AVSS
2007
IEEE
15 years 4 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
15 years 3 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
MICCAI
2003
Springer
15 years 10 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
MLMI
2005
Springer
15 years 3 months ago
The TNO Speaker Diarization System for NIST RT05s Meeting Data
The TNO speaker speaker diarization system is based on a standard BIC segmentation and clustering algorithm. Since for the NIST Rich Transcription speaker dizarization evaluation m...
David van Leeuwen
CORR
2010
Springer
101views Education» more  CORR 2010»
14 years 6 months ago
Binary is Good: A Binary Inference Framework for Primary User Separation in Cognitive Radio Networks
Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in t...
Huy Anh Nguyen, Rong Zheng, Zhu Han