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» Improving data mining utility with projective sampling
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IJCAI
2007
15 years 5 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
ACCV
2007
Springer
15 years 10 months ago
Depth from Stationary Blur with Adaptive Filtering
This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a path and a sampling line properly set in ...
Jiang Yu Zheng, Min Shi
PROFES
2005
Springer
15 years 9 months ago
Mega Software Engineering
Abstract. In various fields of computer science, rapidly growing hardware power, such as high-speed network, high-performance CPU, huge disk capacity, and large memory space, has ...
Katsuro Inoue, Pankaj K. Garg, Hajimu Iida, Ken-ic...
147
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 6 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...