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» An Algorithm for Intrinsic Dimensionality Estimation
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ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Emotion Recognition from Noisy Speech
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...
134
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
ICCV
2003
IEEE
16 years 5 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
134
Voted
CVPR
1997
IEEE
15 years 7 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
119
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Asymptotically MMSE-optimum pilot design for comb-type OFDM channel estimation in high-mobility scenarios
Under high mobility, the orthogonality between sub-carriers in an OFDM symbol is destroyed resulting in severe intercarrier interference (ICI). We present a novel algorithm to est...
K. M. Zahidul Islam, Tareq Y. Al-Naffouri, Naofal ...