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PODS
2004
ACM
148views Database» more  PODS 2004»
16 years 2 months ago
Deterministic Wavelet Thresholding for Maximum-Error Metrics
Several studies have demonstrated the effectiveness of the wavelet decomposition as a tool for reducing large amounts of data down to compact wavelet synopses that can be used to ...
Minos N. Garofalakis, Amit Kumar
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 3 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
VTC
2007
IEEE
125views Communications» more  VTC 2007»
15 years 8 months ago
Gaussian Pulse Based Tone Reservation for Reducing PAPR of OFDM Signals
Abstract – One of the major drawbacks of OFDM is high Peakto-Average Power Ratio (PAPR) which can result in poor power efficiency and serious distortion in the transmitter amplif...
Carole A. Devlin, Anding Zhu, Thomas J. Brazil
151
Voted
AH
2006
Springer
15 years 6 months ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu
SIGIR
2006
ACM
15 years 8 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi