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AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
14 years 24 days ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie
CVPR
2009
IEEE
15 years 5 months ago
Contextual Flow
Matching based on local brightness is quite limited, because small changes on local appearance invalidate the constancy in brightness. The root of this limitation is its treatme...
Ying Wu (Northwestern University), Jialue Fan (Nor...
CVPR
2008
IEEE
15 years 24 days ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
IROS
2006
IEEE
128views Robotics» more  IROS 2006»
14 years 4 months ago
Improving Data Association in Vision-based SLAM
— This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and app...
Arturo Gil, Óscar Reinoso, Óscar Mar...
ICPP
2005
IEEE
14 years 4 months ago
Connected k-Hop Clustering in Ad Hoc Networks
In wireless ad hoc networks, clustering is one of the most important approaches for many applications. A connected k-hop clustering network is formed by electing clusterheads in k...
Shuhui Yang, Jie Wu, Jiannong Cao