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NIPS
2004
14 years 10 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
IJCAI
2003
14 years 10 months ago
2003
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
ICONIP
2007
14 years 11 months ago
2007
We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...