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» Improving the Efficiency of Non-Deterministic Computations
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110
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DCG
2008
86views more  DCG 2008»
15 years 20 days ago
Efficient Algorithms for Maximum Regression Depth
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyperplanes of maximum regression depth among a set of n points. We work primarily...
Marc J. van Kreveld, Joseph S. B. Mitchell, Peter ...
77
Voted
MVA
2007
142views Computer Vision» more  MVA 2007»
15 years 2 months ago
Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection
The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using imp...
Xuezhi Wen, Wei Liu, Nan Wang, Huai Yuan, Hong Zha...
123
Voted
JCP
2008
167views more  JCP 2008»
15 years 17 days ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
CCE
2004
15 years 13 days ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
VLDB
2007
ACM
137views Database» more  VLDB 2007»
16 years 24 days ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...