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» Embedding Heterogeneous Data Using Statistical Models
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SIGMOD
1998
ACM
180views Database» more  SIGMOD 1998»
13 years 11 months ago
Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity
Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...
William W. Cohen
EPIA
2003
Springer
14 years 24 days ago
Model for Dialogue between Informational Agents
Abstract. A theoretical model for agents interaction to study semantic heterogeneity is proposed. The context of this study is informational agents with knowledge bases that are he...
Erika Valencia, Jean-Paul Sansonnet
NIPS
2008
13 years 9 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
MICCAI
2010
Springer
13 years 6 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
CASES
2003
ACM
13 years 11 months ago
A hierarchical approach for energy efficient application design using heterogeneous embedded systems
Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application ...
Sumit Mohanty, Viktor K. Prasanna