1344 search results - page 59 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
NIPS
2001
13 years 10 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
PR
2007
13 years 8 months ago
2007
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
ASUNAM
2010
IEEE
13 years 10 months ago
2010
IEEE
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...