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» A Neural Model of Human Object Recognition Development
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PAMI
2011
12 years 10 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
AROBOTS
2002
166views more  AROBOTS 2002»
13 years 7 months ago
Multi-Modal Interaction of Human and Home Robot in the Context of Room Map Generation
In robotics, the idea of human and robot interaction is receiving a lot of attention lately. In this paper, we describe a multi-modal system for generating a map of the environment...
Saeed Shiry Ghidary, Yasushi Nakata, Hiroshi Saito...
NIPS
1997
13 years 9 months ago
Task and Spatial Frequency Effects on Face Specialization
There is strong evidence that face processing is localized in the brain. The double dissociation between prosopagnosia, a face recognition deficit occurring after brain damage, a...
Matthew N. Dailey, Garrison W. Cottrell
NIPS
2008
13 years 9 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori
ICPR
2002
IEEE
14 years 8 months ago
View-Based Dynamic Object Recognition Based on Human Perception
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...
Arnulf B. A. Graf, Christian Wallraven, Heinrich H...