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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 2 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
137
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SIAMIS
2011
14 years 7 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
96
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ECCV
2010
Springer
15 years 5 months ago
Multi-Person Tracking with Sparse Detection and Continuous Segmentation
This paper presents an integrated framework for mobile street-level tracking of multiple persons. In contrast to classic tracking-by-detection approaches, our framework employs an ...
120
Voted
TCS
2008
15 years 15 days ago
Main-memory triangle computations for very large (sparse (power-law)) graphs
Finding, counting and/or listing triangles (three vertices with three edges) in massive graphs are natural fundamental problems, which received recently much attention because of ...
Matthieu Latapy
ICASSP
2011
IEEE
14 years 4 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada