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» Embedding Heterogeneous Data Using Statistical Models
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IADIS
2008
13 years 11 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...
ICIP
2001
IEEE
14 years 12 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
WDAS
1998
13 years 11 months ago
Data Replication and Delay Balancing in Heterogeneous Disk Systems
Declustering and replication are well known techniques used to improve response time of queries in parallel disk environments. As data replication incurs a penalty for updates, da...
Doron Rotem, Sridhar Seshadri, Luis M. Bernardo
MT
2007
100views more  MT 2007»
13 years 10 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 10 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...