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STOC
1993
ACM
15 years 1 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
TKDE
2010
14 years 4 months ago
2010
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
164
Voted
ICDE
2007
IEEE
15 years 11 months ago
2007
IEEE
The All Nearest Neighbor (ANN) operation is a commonly used primitive for analyzing large multi-dimensional datasets. Since computing ANN is very expensive, in previous works R*-t...
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
EDBT
2009
ACM
15 years 1 months ago
2009
ACM
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...