The American Heart Association and the American Association of Cardiovascular and Pulmonary Rehabilitation recognize that all cardiac rehabilitation/secondary prevention programs should contain specific core components that aim to optimize cardiovascular risk reduction, foster healthy behaviors and compliance to these behaviors, reduce disability, and promote an active lifestyle for patients wi...

Database clusters provide a cost-effective solution for high performance query processing. By using either interor intra-query parallelism on replicated data, they can accelerate individual queries and increase throughput. However, there is no database cluster that combines interand intra-query parallelism while supporting intensive update transactions. C-JDBC is a successful database cluster t...

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as ...

An efficient scheme is presented for implementing the sign LMS algorithm in block floating point format, which permits processing of data over a wide dynamic range at a processor complexity and cost as low as that of a fixed point processor. The proposed scheme adopts appropriate formats for representing the filter coefficients and the data. It also employs a scaled representation for the steps...

Abst rac t . In this paper we investigate automated methods for externalizing internal memory data structures. We consider a class of balanced trees that we call weight-balanced partitioning trees (or wp-trees) for indexing a set of points in Rd. Well-known examples of wp-trees include fed-trees, BBD-trees, pseudo quad trees, and BAR trees. These trees are defined with fixed degree and are thus...

We propose a family of Passive-Aggressive Mahalanobis (PAM) algorithms, which are incremental (online) binary classifiers that consider the distribution of data. PAM is in fact a generalization of the Passive-Aggressive (PA) algorithms to handle data distributions that can be represented by a covariance matrix. The update equations for PAM are derived and theoretical error loss bounds computed....

In this paper, we present a collision attack on the SHA-3 submission SHAMATA. SHAMATA is a stream cipher-like hash function design with components of the AES, and it is one of the fastest submitted hash functions. In our attack, we show weaknesses in the message injection and state update of SHAMATA. It is possible to find certain message differences that do not get changed by the message expan...

Recurrent neural network based language models (RNNLM) have been demonstrated to outperform traditional n-gram language models in automatic speech recognition. However, the superior performance is obtained at the cost of expensive model training. In this paper, we propose a sentence-independent subsampling stochastic gradient descent algorithm (SIS-SGD) to speed up the training of RNNLM using p...

In this paper a new technique is proposed to design an online control algorithm using the Radial Basis Functions Neural Network (RBFNN). The controller is an RBFNN based direct self-tuning regulator (STR) that overcomes several shortcomings of the inverse control design using the neural networks. The control algorithm performs equally good to both minimum phase and non-minimum phase plants. The...

Stochastic gradient-based adaptive algorithms are developed for the optimization of Weighted Myriad Filters, a class of nonlinear lters, motivated by the properties of -stable distributions, that have been proposed for robust non-Gaussian signal processing in impulsive noise environments. An implicit formulation of the lter output is used to derive an expression for the gradient of the mean abs...