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ICIP
2010
IEEE
15 years 5 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
DATAMINE
2010
161views more  DATAMINE 2010»
15 years 5 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 9 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
SEMWEB
2009
Springer
16 years 2 months ago
Semantic Usage Policies for Web Services
Web Services provide standardized interfaces for accessing software systems and data sources over the Internet. Semantic descriptions of Web Services help to automate the discovery...
Sebastian Speiser
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
16 years 1 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk