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ICML
2004
IEEE
14 years 9 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
ICML
2004
IEEE
14 years 9 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
ISBI
2008
IEEE
14 years 9 months ago
Variational B-spline level-set method for fast image segmentation
In the field of image segmentation, most of level-set-based active contour approaches are based on a discrete representation of the associated implicit function. We present in thi...
Olivier Bernard, Denis Friboulet, Philippe Th&eacu...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 9 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
CHI
2004
ACM
14 years 9 months ago
Pressure widgets
Current user interface widgets typically assume that the input device can only provide x-y position and binary button press information. Other inputs such as the continuous pressu...
Gonzalo Ramos, Matthew Boulos, Ravin Balakrishnan