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» Incorporating Background Invariance into Feature-Based Objec...
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135
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NIPS
2007
15 years 5 months ago
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
129
Voted
ICPR
2000
IEEE
16 years 5 months ago
Experiments with an Extended Tangent Distance
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Tho...
WACV
2005
IEEE
15 years 9 months ago
Simultaneous Localization and Recognition of Dynamic Hand Gestures
A method for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this method is a dynamic space-time warping (DSTW) algorithm, that ...
Jonathan Alon, Vassilis Athitsos, Quan Yuan, Stan ...
158
Voted
ICML
2010
IEEE
15 years 5 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
151
Voted
CVPR
2003
IEEE
16 years 6 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson