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» A general framework for low level vision
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ACCV
2007
Springer
14 years 28 days ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
CVPR
2006
IEEE
14 years 8 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman
ICCV
2005
IEEE
14 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
UML
2001
Springer
13 years 11 months ago
The Essence of Multilevel Metamodeling
Abstract. As the UML attempts to make the transition from a single, albeit extensible, language to a framework for a family of languages, the nature and form of the underlying meta...
Colin Atkinson, Thomas Kühne
POPL
2007
ACM
14 years 7 months ago
Types, bytes, and separation logic
We present a formal model of memory that both captures the lowlevel features of C's pointers and memory, and that forms the basis for an expressive implementation of separati...
Harvey Tuch, Gerwin Klein, Michael Norrish