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» Selective Attention Improves Learning
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83
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DAGM
2005
Springer
15 years 5 months ago
Goal-Directed Search with a Top-Down Modulated Computational Attention System
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Simone Frintrop, Gerriet Backer, Erich Rome
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
15 years 5 months ago
The Role of Motion Information in Learning Human-Robot Joint Attention
— To realize natural human-robot interactions and investigate the developmental mechanism of human communication, an effective approach is to construct models by which a robot im...
Yukie Nagai
130
Voted
AGI
2011
14 years 3 months ago
Nonlinear-Dynamical Attention Allocation via Information Geometry
Inspired by a broader perspective viewing intelligent system dynamics in terms of the geometry of “cognitive spaces,” we conduct a preliminary investigation of the application ...
Matthew Iklé, Ben Goertzel
128
Voted
VSGAMES
2010
139views Game Theory» more  VSGAMES 2010»
14 years 10 months ago
Attentional Cueing in Serious Games
—Games, and serious games especially, revolve around learning new material and integrating this into a mental model. However, playing games can be cognitively demanding and novic...
Erik D. Van der Spek, Herre van Oostendorp, Pieter...
ICASSP
2011
IEEE
14 years 3 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...