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» Local Supervised Learning through Space Partitioning
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Publication
400views
12 years 12 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
TKDE
2008
148views more  TKDE 2008»
13 years 4 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
CVPR
2010
IEEE
14 years 1 months ago
Naming People from Dialog: Temporal Grouping and Weak Supervision
We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
ICML
2000
IEEE
14 years 5 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic