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» Approximate predictive state representations
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CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
SOFSEM
2004
Springer
14 years 27 days ago
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Matej Makula, Michal Cernanský, Lubica Benu...
IJCAI
1997
13 years 9 months ago
Mental Tracking: A Computational Model of Spatial Development
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...
Kazuo Hiraki, Akio Sashima, Steven Phillips
3DPVT
2004
IEEE
175views Visualization» more  3DPVT 2004»
13 years 11 months ago
Scalable and Efficient Coding of 3D Model Extracted from a Video
This paper presents an efficient and scalable coding scheme for transmitting a stream of 3D models extracted from a video. As in classical model-based video coding, the geometry, ...
Raphaèle Balter, Patrick Gioia, Luce Morin,...
CVPR
2011
IEEE
13 years 3 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...