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» A Probability Model for Image Annotation
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17 years 4 months ago
VXL - The Vision-something-Libraries
VXL is a collection of C++ libraries designed for computer vision research and implementation. VXL is written in ANSI/ISO C++ and is designed to be portable over many platforms. Th...
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 11 months ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
CVPR
2001
IEEE
16 years 7 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ECCV
2000
Springer
16 years 7 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
JMLR
2012
13 years 7 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...