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» Learning a Generative Model for Structural Representations
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CVPR
2009
IEEE
15 years 4 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
CVPR
2009
IEEE
15 years 4 months ago
Vocabulary Hierarchy Optimization for Effective and Transferable Retrieval
Scalable image retrieval systems usually involve hierarchical quantization of local image descriptors, which produces a visual vocabulary for inverted indexing of images. Although ...
Rongrong Ji (Harbin Institute of Technology), Xing...
ECAI
2008
Springer
13 years 10 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
ECML
2006
Springer
14 years 17 days ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
ICIP
2006
IEEE
14 years 10 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