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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ICCV
2005
IEEE
14 years 10 months ago
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
In this paper, we present an attribute graph grammar for image parsing on scenes with man-made objects, such as buildings, hallways, kitchens, and living rooms. We choose one clas...
Feng Han, Song Chun Zhu
PAMI
2010
324views more  PAMI 2010»
13 years 6 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
14 years 9 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
VRST
2003
ACM
14 years 1 months ago
Time-critical collision detection using an average-case approach
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
Jan Klein, Gabriel Zachmann
MM
2004
ACM
100views Multimedia» more  MM 2004»
14 years 1 months ago
GURU: a multimedia distance-learning framework for users with disabilities
GURU is a distance-learning environment that renders multimedia information to users with disabilities in an accessible manner. It is an implementation framework developed as part...
Vidhya Balasubramanian, Nalini Venkatasubramanian