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» A Practical Method for the Sparse Resultant
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
14 years 12 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, ...
ICIP
2004
IEEE
15 years 11 months ago
Learning structured dictionaries for image representation
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...
Gianluca Monaci, Pierre Vandergheynst
CF
2005
ACM
14 years 12 months ago
Grid result checking
Result checking is the theory and practice of proving that the result of an execution of a program on an input is correct. Result checking has most often been envisioned in the fr...
Cécile Germain-Renaud, Dephine Monnier-Raga...
BMCBI
2011
14 years 1 months ago
PI: An open-source software package for validation of the SEQUEST result and visualization of mass spectrum
Background: Tandem mass spectrometry (MS/MS) has emerged as the leading method for high- throughput protein identification in proteomics. Recent technological breakthroughs have d...
Yantao Qiao, Hong Zhang, Dongbo Bu, Shiwei Sun
PAMI
2010
265views more  PAMI 2010»
14 years 8 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...