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» Derandomization and Distinguishing Complexity
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ICCV
2001
IEEE
16 years 3 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 2 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
ESAW
2009
Springer
15 years 8 months ago
Programming Organization-Aware Agents
Organizational notions such as roles, norms (e.g., obligations and permissions), and services are increasingly viewed as natural concepts to manage the complexity of software devel...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
ICSEA
2008
IEEE
15 years 8 months ago
A Component Model Family for Vehicular Embedded Systems
In this paper we propose to use components for managing the increasing complexity in modern vehicular systems. Compared to other approaches, the distinguishing feature of our work...
Tomás Bures, Jan Carlson, Séverine S...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 8 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...