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TKDE
2012
212views Formal Methods» more  TKDE 2012»
8 years 6 months ago
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
—Moving Object Databases (MOD), although ubiquitous, still call for methods that will be able to understand, search, analyze, and browse their spatiotemporal content. In this pap...
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopana...
COMSNETS
2012
183views more  COMSNETS 2012»
9 years 5 days ago
Effects of network trace sampling methods on privacy and utility metrics
—Researchers choosing to share wireless-network traces with colleagues must first anonymize sensitive information, trading off the removal of information in the interest of iden...
Phil Fazio, Keren Tan, David Kotz
DEXA
2011
Springer
263views Database» more  DEXA 2011»
9 years 4 months ago
Sampling the National Deep Web
A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov
CVPR
2011
IEEE
9 years 12 months ago
Structure from motion for scenes with large duplicate structures
Most existing structure from motion (SFM) approaches for unordered images cannot handle multiple instances of the same structure in the scene. When image pairs containing differen...
Richard Roberts, Sudipta Sinha, Richard Szeliski, ...
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
10 years 2 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
CGF
2004
158views more  CGF 2004»
10 years 4 months ago
Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping
This paper presents a general variance reduction method that is a quasi-optimal combination of correlated and importance sampling. The weights of the combination are selected auto...
László Szécsi, Mateu Sbert, L...
CORR
2010
Springer
140views Education» more  CORR 2010»
10 years 4 months ago
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique...
Zvika Ben-Haim, Tomer Michaeli, Yonina C. Eldar
VMV
2008
120views Visualization» more  VMV 2008»
10 years 5 months ago
Interpolating and Downsampling RGBA Volume Data
For about twenty years the standard color sampling method for RGBA volume data has been the interpolation of opacity-weighted colors. In this work, we discuss the underlying appro...
Martin Kraus, Kai Bürger
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
10 years 5 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima
ACMICEC
2007
ACM
117views ECommerce» more  ACMICEC 2007»
10 years 8 months ago
Selectively acquiring ratings for product recommendation
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
Zan Huang
books