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» On the learning of nonlinear visual features from natural im...
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ICCV
1998
IEEE
14 years 6 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
ECCV
2004
Springer
14 years 6 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
ICIP
2003
IEEE
13 years 10 months ago
Evolutionary design of context-free attentional operators
A framework for simulating the visual attention system in primates is presented. Each stage of the attentional hierarchy is chosen with consideration for both psychophysics and ma...
Neil D. B. Bruce, M. Ed Jernigan
NECO
2010
154views more  NECO 2010»
13 years 3 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
PAMI
2012
11 years 7 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce