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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 4 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
BMCBI
2007
95views more  BMCBI 2007»
15 years 4 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao
ICIP
2010
IEEE
15 years 2 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
WACV
2007
IEEE
15 years 10 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Raghav Subbarao, Yakup Genc, Peter Meer
DEXA
2008
Springer
120views Database» more  DEXA 2008»
15 years 6 months ago
Compressing Very Large Database Workloads for Continuous Online Index Selection
The paper presents a novel method for compressing large database workloads for purpose of autonomic, continuous index selection. The compressed workload contains a small subset of ...
Piotr Kolaczkowski