Results 261 to 270 of about 14,157,821 (311)

A Gear-Driven Plantar Energy Harvester with Integrated Self-Sensing for Human Locomotion Recognition. [PDF]

Sensors (Basel)
Wang X, Lin W, Wang W, Yu Y, Cong M, Gao Y, Dong W.   +6 more
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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
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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
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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
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Geometric deformable model and segmentation

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
In this paper, we point out some problems associated with existent geometric active contour models, and present a new geometric active contour model. This model can overcome some drawbacks in the previous geometric models. We implement the geometric active contour model using the level set method.
Haiyan Wang, Bijoy K. Ghosh
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Segmentation with Volumetric Part Models [PDF]

, 1996
Segmentation with Volumetric Part Models. Volumetric models are top-level shape representation in computer vision applications. Volumetric models are especially suited for part-level representation on which manipulation, recognition and other reasoning can be based.
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A snake for model-based segmentation

Proceedings of IEEE International Conference on Computer Vision, 2002
Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and flattening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity.
Petia Radeva, Joan Serrat 0002, Enric Martí   +2 more
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