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88
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IJCV
2006
107views more  IJCV 2006»
15 years 12 days ago
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to g...
Gianluca Antonini, Santiago Venegas-Martinez, Mich...
152
Voted
ER
2003
Springer
550views Database» more  ER 2003»
15 years 5 months ago
A UML Based Approach for Modeling ETL Processes in Data Warehouses
Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) proces...
Juan Trujillo, Sergio Luján-Mora
98
Voted
IADIS
2003
15 years 1 months ago
Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
99
Voted
COOPIS
2003
IEEE
15 years 5 months ago
Static Type-Inference for Trust in Distributed Information Systems
Abstract. Decision-makers in critical fields such as medicine and finance make use of a wide range of information available over the Internet. Mediation, a data integration techn...
Premkumar T. Devanbu, Michael Gertz, Brian Toone
108
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HIS
2004
15 years 1 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...