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» Using a Non-prior Training Active Feature Model
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ICCV
2011
IEEE
14 years 4 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
VMV
2001
101views Visualization» more  VMV 2001»
15 years 5 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
CVPR
2009
IEEE
16 years 11 months ago
Multi-Camera Activity Correlation Analysis
We propose a novel approach for modelling correlations between activities in a busy public space captured by multiple non-overlapping and uncalibrated cameras. In our approach, ...
Chen Change Loy (Queen Mary, University of London)...
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
ICIP
2005
IEEE
16 years 6 months ago
Active contours on statistical manifolds and texture segmentation
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...