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ICDM
2006
IEEE
84views Data Mining» more  ICDM 2006»
16 years 21 days ago
Exploratory Under-Sampling for Class-Imbalance Learning
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
CPM
1999
Springer
92views Combinatorics» more  CPM 1999»
15 years 11 months ago
Physical Mapping with Repeated Probes: The Hypergraph Superstring Problem
We focus on the combinatorial analysis of physical mapping with repeated probes. We present computational complexity results, and we describe and analyze an algorithmic strategy. W...
Serafim Batzoglou, Sorin Istrail
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 10 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
IJCAI
2007
15 years 8 months ago
Fast Incremental Square Root Information Smoothing
We propose a novel approach to the problem of simultaneous localization and mapping (SLAM) based on incremental smoothing, that is suitable for real-time applications in large-sca...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
PAMI
2007
107views more  PAMI 2007»
15 years 6 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
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