Sciweavers

CVPR
2007
IEEE
15 years 1 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
CVPR
2007
IEEE
15 years 1 months ago
Bilattice-based Logical Reasoning for Human Detection
The capacity to robustly detect humans in video is a critical component of automated visual surveillance systems. This paper describes a bilattice based logical reasoning approach...
Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, La...
CVPR
2007
IEEE
15 years 1 months ago
City-Scale Location Recognition
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Grant Schindler, Matthew Brown, Richard Szeliski
CVPR
2007
IEEE
15 years 1 months ago
Multi-modal Person Identification in a Smart Environment
Hazim Kemal Ekenel, Mika Fischer, Qin Jin, Rainer ...
CVPR
2007
IEEE
15 years 1 months ago
Automatic Face Recognition from Skeletal Remains
The ability to determine the identity of a skull found at a crime scene is of critical importance to the law enforcement community. Traditional clay-based methods attempt to recon...
Carl Adrian, Nils Krahnstoever, Peter H. Tu, Phil ...
CVPR
2007
IEEE
15 years 1 months ago
Contextual Identity Recognition in Personal Photo Albums
We present an efficient probabilistic method for identity recognition in personal photo albums. Personal photos are usually taken under uncontrolled conditions ? the captured face...
Dragomir Anguelov, Kuang-chih Lee, Salih Burak G&o...
CVPR
2007
IEEE
15 years 1 months ago
A Quasi-Minimal Model for Paper-Like Surfaces
Smoothly bent paper-like surfaces are developable. They are however difficult to minimally parameterize since the number of meaningful parameters is intrinsically dependent on the...
Mathieu Perriollat, Adrien Bartoli
CVPR
2007
IEEE
15 years 1 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CVPR
2007
IEEE
15 years 1 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...