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» Managing Complexity in Large Learning Robotic Systems
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ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 2 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
APSEC
1999
IEEE
14 years 4 days ago
Enhancing Object-Based System Composition through Per-Object Mixins
The management of complexity in large systems is traditionally focused on the modeling and management of classes and hierarchies of classes. In order to improve the compositional ...
Gustaf Neumann, Uwe Zdun
MMM
2010
Springer
141views Multimedia» more  MMM 2010»
13 years 9 months ago
Slow Intelligence Systems
: Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spre...
Shi-Kuo Chang
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
14 years 8 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 11 days ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou