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TIP
2010
93views more  TIP 2010»
15 years 1 months ago
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Olivier Le Meur, Jean-Claude Chevet
CVPR
2005
IEEE
16 years 9 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
CVPR
2005
IEEE
16 years 9 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
EDOC
2007
IEEE
16 years 1 months ago
Modeling and Integrating Aspects into Component Architectures
Dependable software systems are difficult to develop because developers must understand and address several interdependent and pervasive dependability concerns. Features that addr...
Lydia Michotte, Robert B. France, Franck Fleurey
CVPR
2008
IEEE
16 years 9 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille