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CRV
2009
IEEE
153views Robotics» more  CRV 2009»
16 years 1 months ago
Optimal Online Data Sampling or How to Hire the Best Secretaries
The problem of online sampling of data, can be seen as a generalization of the classical secretary problem. The goal is to maximize the probability of picking the k highest scorin...
Yogesh Girdhar, Gregory Dudek
ISCI
1998
139views more  ISCI 1998»
15 years 6 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan
CVPR
2004
IEEE
16 years 8 months ago
Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Sean M. O'Malley, Ioannis A. Kakadiaris
DCC
2007
IEEE
16 years 6 months ago
High Throughput Compression of Double-Precision Floating-Point Data
This paper describes FPC, a lossless compression algorithm for linear streams of 64-bit floating-point data. FPC is designed to compress well while at the same time meeting the hi...
Martin Burtscher, Paruj Ratanaworabhan
CPM
2007
Springer
167views Combinatorics» more  CPM 2007»
16 years 25 days ago
Deterministic Length Reduction: Fast Convolution in Sparse Data and Applications
In this paper a deterministic algorithm for the length reduction problem is presented. This algorithm enables a new tool for performing fast convolution in sparse data. While the ...
Amihood Amir, Oren Kapah, Ely Porat