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IJCAI
1989
13 years 10 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr
IEICET
2007
142views more  IEICET 2007»
13 years 9 months ago
Detecting Unknown Worms Using Randomness Check
From the appearance of CodeRed and SQL Slammer worm, we have learned that the early detection of worm epidemics is important to reduce the damage caused by their outbreak. One prom...
Hyundo Park, Heejo Lee, Hyogon Kim
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
14 years 2 months ago
Behavior-Grounded Representation of Tool Affordances
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
Alexander Stoytchev
ICCV
2003
IEEE
14 years 11 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
ECAI
2010
Springer
13 years 7 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...