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» Exploiting a Probabilistic Hierarchical Model for Generation
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IJCV
2008
151views more  IJCV 2008»
13 years 7 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
ICIP
2006
IEEE
14 years 9 months ago
Generation of Long-Term Color and Motion Coherent Partitions
This paper describes a technique for generating partition sequences of regions presenting long-term homogeneity in color and motion coherency in terms of affine models. The techni...
Camilo C. Dorea, Ferran Marqués, Montse Par...
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
NAACL
2010
13 years 5 months ago
Topic Models for Image Annotation and Text Illustration
Image annotation, the task of automatically generating description words for a picture, is a key component in various image search and retrieval applications. Creating image datab...
Yansong Feng, Mirella Lapata
CASES
2007
ACM
13 years 11 months ago
Hierarchical coarse-grained stream compilation for software defined radio
Software Defined Radio (SDR) is an emerging embedded domain where the physical layer of wireless protocols is implemented in software rather than the traditional application speci...
Yuan Lin, Manjunath Kudlur, Scott A. Mahlke, Trevo...