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SODA
2010
ACM
409views Algorithms» more  SODA 2010»
16 years 4 months ago
Data Structures for Range Minimum Queries in Multidimensional Arrays
Given a d-dimensional array A with N entries, the Range Minimum Query (RMQ) asks for the minimum element within a contiguous subarray of A. The 1D RMQ problem has been studied int...
Hao Yuan, Mikhail J. Atallah
FIRA
2009
Springer
116views Robotics» more  FIRA 2009»
16 years 1 months ago
A Study on Stereo and Motion Data Accuracy for a Moving Platform
Abstract. Stereo and motion analysis are potential techniques for providing information for control or assistance systems in various robotics or driver assistance applications. Thi...
Sandino Morales, Young Woon Woo, Reinhard Klette, ...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
ICDE
2008
IEEE
2751views Database» more  ICDE 2008»
17 years 6 months ago
Skyline Query Processing for Incomplete Data
Recently, there has been much interest in processing skyline queries for various applications that include decision making, personalized services, and search pruning. Skyline queri...
Justin J. Levandoski, Mohamed E. Khalefa, Mohamed ...
HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...