Results 211 to 220 of about 211,200 (266)

Anatomical effects of ablation of the anterior retina in small animal eyes. [PDF]

BMC Ophthalmol
Wang J, Lohmann T, Wu Y, Schaffrath K, Konermann H, Keven K, Balcewicz F, Johnen S, Stegmaier J, Walter P, Baumgarten S.   +10 more
europepmc   +1 more source

Categorization of echocardiograms by humans and pigeons. [PDF]

Front Psychol
Orr ORP, Navarro VM, Wasserman EA, Ouyang D.   +3 more
europepmc   +1 more source

Image models for segmentation and recognition.

, 2006
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Segmental duration modeling in Turkish

Interspeech 2006, 2006
Naturalness of synthetic speech highly depends on appropriate modelling of prosodic aspects Mostly, three prosody components are modelled: segmental duration, pitch contour and intensity In this study, we present our work on modelling segmental duration in Turkish using machine-learning algorithms, especially Classification and Regression Trees The ...
Özlem Öztürk, Tolga Çiloglu
openaire   +4 more sources

Model-based segmentation of nuclei

Pattern Recognition, 2000
A new approach for segmentation of nuclei observed with an epi-fluorescence microscope is presented. The technique is model based and uses local feature activities such as step-edge segments, roof-edge segments, and concave corners to construct a set of initial hypotheses.
Ge Cong, Bahram Parvin
openaire   +1 more source

Segmental Modeling for Audio Segmentation

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
Trainable speech/non-speech segmentation and music detection algorithms usually consist of a frame based scoring phase combined with a smoothing phase. This paper suggests a framework in which both phases are explicitly unified in a segment based classifier.
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Context modeling with the stochastic segment model

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
An approach for context modeling in continuous speech recognition for models based on multivariate Gaussian distributions, specifically, the stochastic segment model, is described. Robust context models are obtained by typing distribution parameters across different classes of context. Experimental results in phoneme and word recognition are comparable
Owen Kimball, Mari Ostendorf, Ibrahim Bechwati   +2 more
openaire   +1 more source