Results 221 to 230 of about 71,436 (268)
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Adaptive collaborative filtering
Proceedings of the 2008 ACM conference on Recommender systems, 2008We present a flexible approach to collaborative filtering which stems from basic research results. The approach is flexible in several dimensions: We introduce an algorithm where the loss can be tailored to a particular recommender problem. This allows us to optimize the prediction quality in a way that matters for the specific recommender system.
Markus Weimer +2 more
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2010
AFSQP is a Sequential Quadratic Programming algorithm which obtains global convergence through an adaptive filter technique. This adaptivity is the major innovation in this work. The resulting algorithm can deal with constraints involving different length scales without requiring their normalization.
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AFSQP is a Sequential Quadratic Programming algorithm which obtains global convergence through an adaptive filter technique. This adaptivity is the major innovation in this work. The resulting algorithm can deal with constraints involving different length scales without requiring their normalization.
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2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015
Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
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Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
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Multiplierless Adaptive Filtering
Digital Signal Processing, 2002Abstract Bose, T., Venkatachalam, A., and Thamvichai, R., Multiplierless Adaptive Filtering, Digital Signal Processing12 (2002) 107–118 When digital filters are designed with power-of-2 coefficients, the multiplications can be implemented by simple shifting operations. For VLSI implementations, multiplierless filters are faster and more compact than
Tamal Bose +2 more
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Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004., 2004
We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
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We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
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A theory of adaptive filtering
IEEE Transactions on Information Theory, 1966This paper considers the adaptive signal extraction problem for time-discrete data when only very general a priori assumptions regarding the distributions of signal and noise are possible. Specifically, it is assumed that the noise is white, additive, and signal independent with mean zero and unknown variance and that the signal is band-limited.
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Multikernel Adaptive Filtering
IEEE Transactions on Signal Processing, 2012This paper exemplifies that the use of multiple kernels leads to efficient adaptive filtering for nonlinear systems. Two types of multikernel adaptive filtering algorithms are proposed. One is a simple generalization of the kernel normalized least mean square (KNLMS) algorithm [2], adopting a coherence criterion for dictionary designing.
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1997
Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Adaptive communication filtering
IEEE Transactions on Information Theory, 1962This paper reports the results of a study of adaptive communication filtering. It is assumed that either the noise or the signal is completely unknown and only the spectrum or autocorrelation function of the other is known. it is desired to filter according to a mean-square error criteria.
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