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CGF
2011
12 years 8 months ago
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have bee...
Art Tevs, Alexander Berner, Michael Wand, Ivo Ihrk...
ICASSP
2011
IEEE
12 years 8 months ago
Compressive sampling with a successive approximation ADC architecture
This paper proposes a compressive sampling scheme based on random temporal sampling using a successive approximation register (SAR) ADC architecture. Variable wordlength data samp...
Chenchi Luo, James H. McClellan
PVLDB
2008
127views more  PVLDB 2008»
13 years 4 months ago
Hashed samples: selectivity estimators for set similarity selection queries
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...
CSREASAM
2006
13 years 6 months ago
Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System
- Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statist...
Kuo Zhao, Liang Hu, Guannan Gong, Meng Zhang, Kexi...
EDBT
2010
ACM
132views Database» more  EDBT 2010»
13 years 8 months ago
Turbo-charging hidden database samplers with overflowing queries and skew reduction
Recently, there has been growing interest in random sampling from online hidden databases. These databases reside behind form-like web interfaces which allow users to execute sear...
Arjun Dasgupta, Nan Zhang 0004, Gautam Das
SSDBM
1990
IEEE
94views Database» more  SSDBM 1990»
13 years 8 months ago
Random Sampling from Database Files: A Survey
In this paper we survey known results on algorithms, data structures, and some applications of random sampling from databases. We first discuss various reasons for sampling from d...
Frank Olken, Doron Rotem
IPPS
1998
IEEE
13 years 8 months ago
Random Sampling Techniques in Parallel Computation
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
Rajeev Raman
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
13 years 10 months ago
Phase measurement and adjustment of digital signals using random sampling technique
—This paper introduces a technique to measure and adjust the relative phase of on-chip high speed digital signals using a random sampling technique of inferential statistics. The...
Rashed Zafar Bhatti, Monty Denneau, Jeff Draper
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
13 years 10 months ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld
SSDBM
2008
IEEE
131views Database» more  SSDBM 2008»
13 years 11 months ago
Linked Bernoulli Synopses: Sampling along Foreign Keys
Random sampling is a popular technique for providing fast approximate query answers, especially in data warehouse environments. Compared to other types of synopses, random sampling...
Rainer Gemulla, Philipp Rösch, Wolfgang Lehne...