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AUSAI
2009
Springer
15 years 10 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
ESANN
2006
15 years 8 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
SG
2009
Springer
16 years 1 months ago
TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
TagClouds is a popular visualization for the collaborative tags. However it has some instinct problems such as linguistic issues, high semantic density and poor understanding of hi...
Ya-Xi Chen, Rodrigo Santamaría, Andreas But...
CIDM
2007
IEEE
16 years 28 days ago
Distributed Document Clustering Using Word-clusters
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Debzani Deb, Rafal A. Angryk