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» A random walk approach to sampling hidden databases
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ICDE
2008
IEEE
130views Database» more  ICDE 2008»
15 years 11 months ago
A Sampling-Based Approach to Information Recovery
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
98
Voted
CVIU
2006
222views more  CVIU 2006»
14 years 9 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
SIGMOD
2004
ACM
142views Database» more  SIGMOD 2004»
15 years 9 months ago
Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax
Recently, the Web has been rapidly "deepened" by many searchable databases online, where data are hidden behind query forms. For modelling and integrating Web databases,...
Zhen Zhang, Bin He, Kevin Chen-Chuan Chang
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
15 years 9 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
88
Voted
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 4 months ago
Towards Unbiased BFS Sampling
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Maciej Kurant, Athina Markopoulou, Patrick Thiran