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ICML
2003
IEEE
16 years 7 months ago
Semi-Supervised Learning of Mixture Models
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
CVPR
1997
IEEE
15 years 11 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
IROS
2009
IEEE
144views Robotics» more  IROS 2009»
16 years 1 months ago
Wide-angle localization of intraocular devices from focus
Abstract— Future retinal therapies will be partially automated in order to increase the surgeons’ ability to operate near the sensitive structure of the human eye retina. Untet...
Christos Bergeles, Kamran Shamaei, Jake J. Abbott,...
AROBOTS
2002
126views more  AROBOTS 2002»
15 years 6 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
AH
2006
Springer
15 years 10 months ago
A Model for Personalized Learning Through IDTV
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...
Marta Rey-López, Ana Fernández Vilas...