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922views
17 years 1 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
SIGCSE
2006
ACM
147views Education» more  SIGCSE 2006»
16 years 23 days ago
Image understanding as a second course in AI: preparing students for research
This paper describes the development and structure of a second course in artificial intelligence that was developed to meet the needs of upper-division undergraduate and graduate ...
Roxanne L. Canosa
SIGGRAPH
1999
ACM
15 years 11 months ago
Creating Generative Models from Range Images
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Ravi Ramamoorthi, James Arvo
PR
2000
102views more  PR 2000»
15 years 6 months ago
Bayesian face recognition
We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primar...
Baback Moghaddam, Tony Jebara, Alex Pentland
ACCV
2010
Springer
15 years 1 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan