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pro vyhledávání: '"Wagner, Avishai"'
Quantifying step abundance via single wrist-worn accelerometers is a common approach for encouraging active lifestyle and tracking disease status. Nonetheless, step counting accuracy can be hampered by fluctuations in walking pace or demeanor. Here,
Externí odkaz:
http://arxiv.org/abs/1711.06974
Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring of patients, using wearable devices which contain inertial measurement
Externí odkaz:
http://arxiv.org/abs/1701.03161
We propose a simple and efficient time-series clustering framework particularly suited for low Signal-to-Noise Ratio (SNR), by simultaneous smoothing and dimensionality reduction aimed at preserving clustering information. We extend the sparse K-mean
Externí odkaz:
http://arxiv.org/abs/1510.05214
Autor:
Wagner, Avishai, Zuk, Or
We propose and study a row-and-column affine measurement scheme for low-rank matrix recovery. Each measurement is a linear combination of elements in one row or one column of a matrix $X$. This setting arises naturally in applications from different
Externí odkaz:
http://arxiv.org/abs/1505.06292