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» A Data Model for Moving Objects Supporting Aggregation
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162
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NIPS
2004
15 years 5 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
162
Voted
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 5 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
134
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IDT
2008
123views more  IDT 2008»
15 years 3 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
IADIS
2003
15 years 5 months ago
Learning Objects: Are They Serving Practitioners Working with VLES?
The purpose of this paper is to present a high-level discussion based on ongoing research with the aim of providing support to educational practitioners based on real shareability...
Miguel Baptista Nunes, Robert Pasley, Maggie McPhe...
UML
1998
Springer
15 years 7 months ago
Supporting and Applying the UML Conceptual Framework
The Unified Modelling Language (UML) ostensibly assumes a four level (meta) modelling framework, both for its definition and for the conceptual context in which its users operate. ...
Colin Atkinson