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BMCBI
2008
142views more  BMCBI 2008»
14 years 10 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
GIS
1998
ACM
14 years 9 months ago
Accuracy of Local Topographic Variables Derived from Digital Elevation Models
We study the accuracy of data on some local topographic attributes derived from digital elevation models (DEMs). First, we carry out a test for the precision of four methods for ca...
Igor v. Florinsky
ICCS
2001
Springer
15 years 2 months ago
Discrete Local Fairing of B-Spline Surfaces
Many surfaces can be modeled by interpolating data points digitized from existing products. But the digitized data points could have measuring errors. To adjust the points, fairing...
Seok-Yong Hong, Chung-Seong Hong, Hyun-Chan Lee, K...
ECCV
2010
Springer
15 years 3 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 4 months ago
Local Probabilistic Models for Link Prediction
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
Chao Wang, Venu Satuluri, Srinivasan Parthasarathy