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ICIP
2006
IEEE
14 years 11 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 9 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 9 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
SIGMOD
2009
ACM
167views Database» more  SIGMOD 2009»
14 years 9 months ago
HDSampler: revealing data behind web form interfaces
A large number of online databases are hidden behind the web. Users to these systems can form queries through web forms to retrieve a small sample of the database. Sampling such h...
Anirban Maiti, Arjun Dasgupta, Nan Zhang, Gautam D...
AAAI
2004
13 years 10 months ago
Common Sense Data Acquisition for Indoor Mobile Robots
Common sense knowledge can be efficiently collected from non-experts over the web in a similar fashion to the Open Mind family of distributed knowledge capture projects. We descri...
Rakesh Gupta, Mykel J. Kochenderfer