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» To FRAME or not to FRAME in Probabilistic Texture Modelling
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ICPR
2004
IEEE
14 years 8 months ago
To FRAME or not to FRAME in Probabilistic Texture Modelling?
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...
Georgy L. Gimel'farb, Luc J. Van Gool, Alexey Zale...
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Video Texture and Motion based Modeling of Rate Variability-Distortion (VD) Curves of I, P, and B Frames
We examine the bit rate variability-distortion (VD) curve of I, P, and B frames of MPEG-4 VBR encoded video sequences. We show that the concave VD curve shape at high compression ...
Geert Van Der Auwera, Martin Reisslein, Lina J. Ka...
NIPS
2004
13 years 9 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
IJCV
2000
116views more  IJCV 2000»
13 years 7 months ago
Equivalence of Julesz Ensembles and FRAME Models
In the past thirty years, research on textures has been pursued along two different lines. The first line of research, pioneered by Julesz (1962, IRE Transactions of Information Th...
Ying Nian Wu, Song Chun Zhu, Xiuwen Liu
NAACL
2010
13 years 5 months ago
Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a f...
Dipanjan Das, Nathan Schneider, Desai Chen, Noah A...