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ALT
2004
Springer
15 years 4 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
114
Voted
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
15 years 9 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
95
Voted
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 1 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
127
Voted
ACCV
1998
Springer
15 years 5 months ago
Motion Compensated Color Video Classification Using Markov Random Fields
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
Zoltan Kato, Ting-Chuen Pong, John Chung-Mong Lee
98
Voted
ICRA
1994
IEEE
99views Robotics» more  ICRA 1994»
15 years 4 months ago
An Optimal Sonar Array for Target Localization and Classification
A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple ta...
Lindsay Kleeman, Roman Kuc