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IPPS
2000
IEEE
15 years 4 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
109
Voted
ICDCS
2002
IEEE
15 years 4 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
104
Voted
ICML
2005
IEEE
16 years 14 days ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
100
Voted
ICML
2004
IEEE
16 years 14 days ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
ICDCSW
2005
IEEE
15 years 5 months ago
A Distributed Architecture for Management and Retrieval of Extended Points of Interest
This paper presents a distributed architecture for the management and retrieval of particular objects called POIsmarts. POIsmarts can be considered as the convergence between virt...
Claudio Bettini, Nicolò Cesa-Bianchi, Danie...