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ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
16 years 28 days ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
IJCNN
2006
IEEE
16 years 27 days ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
IJCNN
2006
IEEE
16 years 27 days ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
IPPS
2006
IEEE
16 years 27 days ago
Cooperative load balancing for a network of heterogeneous computers
In this paper we present a game theoretic approach to solve the static load balancing problem in a distributed system which consists of heterogeneous computers connected by a sing...
Satish Penmatsa, Anthony T. Chronopoulos
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
16 years 27 days ago
Sparse appearance based modeling for robot localization
— In appearance based robot localization a new image is matched with every image in the database. In this paper we describe how to reduce the number of images in this database wi...
Olaf Booij, Zoran Zivkovic, Ben J. A. Kröse