CRYPTO
2012
Springer
12 years 2 months ago
2012
Springer
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
CVPR
2011
IEEE
13 years 8 months ago
2011
IEEE
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...
ICIP
2010
IEEE
13 years 10 months ago
2010
IEEE
Earth Mover Distance (EMD) is a popular distance to compute distances between Probability Density Functions (PDFs). It has been successfully applied in a wide selection of problem...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
Virtually all histograms store for each bucket the number of distinct values it contains and their average frequency. In this paper, we question this paradigm. We start out by inv...
TIP
2002
14 years 2 days ago
2002
Methods for histogram thresholding based on the minimization of a threshold-dependent criterion function might not work well for images having multimodal histograms. In this paper ...
JSS
2008
14 years 12 days ago
2008
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
APJOR
2010
14 years 17 days ago
2010
Earth mover's distance (EMD for short) is a perceptually meaningful dissimilarity measure between histograms. The computation of EMD reduces to a network flow optimization pro...
SIGMOD
2010
ACM
14 years 19 days ago
2010
ACM
Histograms have been widely used for fast estimation of query result sizes in query optimization. In this paper, we propose a new histogram method, called the Skew-Tolerant Histog...
MASCOTS
2007
14 years 1 months ago
2007
Network performance analysis relies mainly on two models: a workload model and a performance model. This paper proposes to use histograms for characterising the arrival workloads ...
BNCOD
2008
14 years 1 months ago
2008
Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...