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CVPR
2010
IEEE
16 years 2 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
CIKM
2009
Springer
16 years 1 months ago
Graph-based seed selection for web-scale crawlers
One of the most important steps in web crawling is determining the starting points, or seed selection. This paper identifies and explores the problem of seed selection in webscal...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
CIKM
2009
Springer
16 years 1 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
16 years 22 days ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
ICMCS
2007
IEEE
187views Multimedia» more  ICMCS 2007»
16 years 22 days ago
Knowledge-Assisted Medical Image Retrieval
In this paper, we present a knowledge-assisted approach to index and retrieve large volume of medical images. Both images and associated texts are indexed using medical concepts f...
Joo-Hwee Lim, Caroline Lacoste, Jean-Pierre Cheval...