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» Learning in Computer Vision: Some Thoughts
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CVPR
2012
IEEE
12 years 12 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
WSTST
2005
Springer
15 years 3 months ago
Soft Modeling of Group Dynamics and Behavioral Attributes
: Social networks, religion and culture of human beings play a major role in the day-to-day activities performed by each individual in group oriented missions. The aggregation and ...
Soumya Banerjee, Ajith Abraham, Sang-Yong Han, P. ...
67
Voted
ECCV
2010
Springer
15 years 2 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
66
Voted
IADIS
2008
14 years 11 months ago
Simulation And Other Facilities To Learn Statistics
For several years, some teachers of the Statistics' Department at the University of Cordoba, with some last course of technical Industrial Engineering in Computer science pup...
José Diz Pérez, Manuel Jurado Bello
CVPR
2006
IEEE
15 years 11 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...