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HPDC
2002
IEEE
15 years 9 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
143
Voted
ICRA
1994
IEEE
154views Robotics» more  ICRA 1994»
15 years 8 months ago
The Network Data Delivery Service: Real-Time Data Connectivity for Distributed Control Applications
The Network Data Delivery Service NDDS is a novel network data-sharing system. NDDS builds on the model of information producers sources and consumers sinks. Producers generate da...
Gerardo Pardo-Castellote, Stanley A. Schneider
142
Voted
ICPR
2006
IEEE
16 years 5 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
ISAAC
2005
Springer
129views Algorithms» more  ISAAC 2005»
15 years 10 months ago
SkipTree: A Scalable Range-Queryable Distributed Data Structure for Multidimensional Data
This paper presents the SkipTree, a new balanced, distributed data structure for storing data with multidimensional keys in a peer-topeer network. The SkipTree supports range quer...
Saeed Alaei, Mohammad Toossi, Mohammad Ghodsi
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 5 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...