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» Sparse representation of images with hybrid linear models
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ICIP
2006
IEEE
16 years 1 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICML
2006
IEEE
16 years 19 days ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
MMS
2007
14 years 11 months ago
Modeling user context with applications to media retrieval
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Ankur Mani, Hari Sundaram
ECCV
2000
Springer
16 years 1 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
APGV
2005
ACM
250views Visualization» more  APGV 2005»
15 years 5 months ago
A perceptual framework for contrast processing of high dynamic range images
Image processing often involves an image transformation into a domain that is better correlated with visual perception, such as the wavelet domain, image pyramids, multi-scale con...
Rafal Mantiuk, Karol Myszkowski, Hans-Peter Seidel