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» Learning Object Representations Using Sequential Patterns
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CVPR
2012
IEEE
11 years 10 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
GPCE
2003
Springer
14 years 25 days ago
Making Patterns Explicit with Metaprogramming
Abstract. Design patterns have been a useful tool for a better understanding of the collaboration between several classes and objects in a program. One drawback of this approach is...
Daniel von Dincklage
ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
14 years 2 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Night Walkers Based on One Pseudoshape Representation of Gait
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, how...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
14 years 1 months ago
Exploiting similarities for robot perception
— A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and...
Kai Welke, Erhan Oztop, Gordon Cheng, Rüdiger...