Sciweavers

934 search results - page 127 / 187
» Anomaly Detection Using Visualization and Machine Learning
Sort
View
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 4 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
ICML
2010
IEEE
14 years 11 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 3 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña
MICCAI
2010
Springer
14 years 8 months ago
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images
Segmentation of surgical devices in fluoroscopic images and in particular of guide-wires is a valuable element during surgery. In cardiac angioplasty, the problem is particularly ...
Nicolas Honnorat, Régis Vaillant, Nikos Par...
MICCAI
2006
Springer
15 years 11 months ago
Detecting Acromegaly: Screening for Disease with a Morphable Model
Acromegaly is a rare disorder which affects about 50 of every million people. The disease typically causes swelling of the hands, feet, and face, and eventually permanent changes t...
Erik G. Learned-Miller, Qifeng Lu, Angela Paisley,...