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» The Stardinates - Visualizing Highly Structured Data
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134
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ICML
2007
IEEE
16 years 4 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
117
Voted
ICPR
2010
IEEE
15 years 5 months ago
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
Svebor Karaman, Jenny Benois-Pineau, Remi Megret, ...
VLDB
1998
ACM
199views Database» more  VLDB 1998»
15 years 7 months ago
The ADABAS Buffer Pool Manager
The buffer pool manager is a central component of ADABAS, a high performance scaleable database system for OLTP processing. High efficiency and scalability of the buffer pool mana...
Harald Schöning
138
Voted
PAMI
2006
117views more  PAMI 2006»
15 years 3 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
114
Voted
SAC
2010
ACM
15 years 8 months ago
An algorithm to generate the context-sensitive synchronized control flow graph
The verification of industrial systems specified with CSP often implies the analysis of many concurrent and synchronized components. The cost associated to these analyses is usu...
Marisa Llorens, Javier Oliver, Josep Silva, Salvad...