Suchergebnisse - "Sparse non-negative matrix factorization"

Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization von Lin, Chuang, Wang, Binghui, Jiang, Ning, Farina, Dario

“… (quasi-unsupervised approach) for multiple DOFs concurrently. Main Results. In online testing based on target hitting, able-bodied subjects reached a greater throughput (TP …”
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A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech von Woo, Jonghye, Xing, Fangxu, Prince, Jerry L., Stone, Maureen, Gomez, Arnold D., Reese, Timothy G., Wedeen, Van J., El Fakhri, Georges

“… •We presented a method to identify both common and subject-specific functional units within a material coordinate system from MRI …”
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A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI von Woo, Jonghye, Prince, Jerry L., Stone, Maureen, Xing, Fangxu, Gomez, Arnold D., Green, Jordan R., Hartnick, Christopher J., Brady, Thomas J., Reese, Timothy G., Wedeen, Van J., El Fakhri, Georges

“… Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are …”
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Identifying the Common and Subject-specific Functional Units of Speech Movements via a Joint Sparse Non-negative Matrix Factorization Framework von Woo, Jonghye, Xing, Fangxu, Prince, Jerry L, Stone, Maureen, Reese, Timothy G, Wedeen, Van J, El Fakhri, Georges

“… muscle activity to surface tongue geometry and they vary significantly from one subject …”
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Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing von Dereure, Erwan, Kervazo, Christophe, Seguin, Johanne, Garofalakis, Anikitos, Mignet, Nathalie, Angelini, Elsa, Olivo-Marin, Jean-Christophe

“… It generally requires the biologist to hand-draw the region of interest around tumors to quantify its activity, which can be time-consuming and tricky when the subjects bear several tumors …”
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Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target von Hu, Hongmei, Krasoulis, Agamemnon, Lutman, Mark, Bleeck, Stefan

“… Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing …”
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Determining functional units of tongue motion via graph-regularized sparse non-negative matrix factorization von Woo, Jonghye, Xing, Fangxu, Lee, Junghoon, Stone, Maureen, Prince, Jerry L

“… Functional units are estimated using a graph-regularized sparse non-negative matrix factorization framework, learning latent building blocks and the corresponding weighting map from motion features …”
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A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI von Woo, Jonghye, Prince, Jerry L, Stone, Maureen, Xing, Fangxu, Gomez, Arnold, Green, Jordan R, Hartnick, Christopher J, Brady, Thomas J, Reese, Timothy G, Wedeen, Van J, Georges El Fakhri

“… Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are …”
Volltext

A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech von Woo, Jonghye, Xing, Fangxu, Prince, Jerry L, Stone, Maureen, Gomez, Arnold, Reese, Timothy G, Wedeen, Van J, Georges El Fakhri

“… Second, it is challenging to keep identified functional units across subjects comparable due to their substantial variability …”
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Determining functional units of tongue motion via graph-regularized sparse non-negative matrix factorization von Woo, Jonghye, Xing, Fangxu, Lee, Junghoon, Stone, Maureen, Prince, Jerry L

“… Functional units are estimated using a graph-regularized sparse non-negative matrix factorization framework, learning latent building blocks and the corresponding weighting map from motion features …”
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Structured Learning with Scale Mixture Priors von Fedorov, Igor

“… Sparsity plays an essential role in a number of modern algorithms. This thesis examines how we can incorporate additional structural information within the …”
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Non-negative Matrix Factorization for Inferring Implicit Preference of Potential Customer von Ohta, M

“… Sparse Non-negative Matrix Factorization (SNMF) is introduced to extract unknown objects appearing in many images …”
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