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PAMI
2002
108views more  PAMI 2002»
13 years 7 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery
BIBE
2009
IEEE
135views Bioinformatics» more  BIBE 2009»
13 years 5 months ago
Vascular Tree Construction with Anatomical Realism for Retinal Images
In this paper, we present a method to automatically extract the vessel segments and construct the vascular tree with anatomical realism from a color retinal image. The significanc...
Kai-Shung Lin, Chia-Ling Tsai, Michal Sofka, Chih-...
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 24 days ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...
ICPR
2010
IEEE
13 years 5 months ago
Use of Line Spectral Frequencies for Emotion Recognition from Speech
We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the b...
Elif Bozkurt, Engin Erzin, Çigdem Eroglu Er...
ICIP
2005
IEEE
14 years 29 days ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...