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ICML
2010
IEEE
15 years 7 months ago
3D Convolutional Neural Networks for Human Action Recognition
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
BIBE
2007
IEEE
113views Bioinformatics» more  BIBE 2007»
16 years 22 days ago
Quantitative and Probabilistic Modeling in Pathway Logic
—This paper presents a study of possible extensions of Pathway Logic to represent and reason about semiquantitative and probabilistic aspects of biological processes. The underly...
Alessandro Abate, Yu Bai, Nathalie Sznajder, Carol...
ECAL
2005
Springer
15 years 12 months ago
Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent s...
Elio Tuci, Christos Ampatzis, Marco Dorigo
PPSN
2004
Springer
15 years 11 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
CLOR
2006
15 years 10 months ago
Synergistic Face Detection and Pose Estimation with Energy-Based Models
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolutional network to map face images to point...
Margarita Osadchy, Yann LeCun, Matthew L. Miller