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» Learning Relational Features with Backward Random Walks
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DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 11 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
VLSISP
2010
106views more  VLSISP 2010»
13 years 8 months ago
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
PAMI
2010
417views more  PAMI 2010»
13 years 8 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ICML
2007
IEEE
14 years 10 months ago
Online discovery of similarity mappings
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
Alexander Rakhlin, Jacob Abernethy, Peter L. Bartl...
ISBI
2009
IEEE
14 years 4 months ago
Automated Analysis of Human Protein Atlas Immunofluorescence Images
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in t...
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Pon...