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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 1 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
148
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 4 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
SOCIALCOM
2010
15 years 1 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
AIED
2007
Springer
15 years 10 months ago
Helping Courseware Authors to Build Ontologies: The Case of TM4L
The authors of topic map-based learning resources face major difficulties in constructing the underlying ontologies. In this paper we propose two approaches to address this problem...
Darina Dicheva, Christo Dichev