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» Separating Complexity Classes Using Structural Properties
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ECCV
2008
Springer
14 years 12 months ago
Constructing Category Hierarchies for Visual Recognition
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Marcin Marszalek, Cordelia Schmid
CVPR
2009
IEEE
15 years 5 months ago
Discriminative Structure Learning of Hierarchical Representations for Object Detection
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchica...
Paul Schnitzspan (TU Darmstadt), Mario Fritz (Univ...
JMLR
2006
115views more  JMLR 2006»
13 years 10 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
FROCOS
2007
Springer
14 years 4 months ago
Hierarchical and Modular Reasoning in Complex Theories: The Case of Local Theory Extensions
Abstract. We present an overview of results on hierarchical and modular reasoning in complex theories. We show that for a special type of extensions of a base theory, which we call...
Viorica Sofronie-Stokkermans
TSP
2008
115views more  TSP 2008»
13 years 9 months ago
The Shiftable Complex Directional Pyramid - Part I: Theoretical Aspects
Abstract--This paper presents an over-complete multiscale decomposition by combining the Laplacian pyramid and the complex directional filter bank (DFB). The filter bank is constru...
Truong T. Nguyen, Soontorn Oraintara