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CVPR
2007
IEEE
16 years 6 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
PVLDB
2008
160views more  PVLDB 2008»
15 years 3 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
SCALESPACE
2007
Springer
15 years 10 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
RTSS
2005
IEEE
15 years 9 months ago
Event Count Automata: A State-Based Model for Stream Processing Systems
Recently there has been a growing interest in models and methods targeted towards the (co)design of stream processing applications; e.g. those for audio/video processing. Streams ...
Samarjit Chakraborty, Linh T. X. Phan, P. S. Thiag...
EICS
2009
ACM
15 years 8 months ago
StateStream: a developer-centric approach towards unifying interaction models and architecture
Complex and dynamic interaction behaviors in applications such as Virtual Reality (VR) systems are difficult to design and develop. Reasons for this include the complexity and lim...
Gerwin de Haan, Frits H. Post