110 search results - page 3 / 22 » Probabilistic Joint Feature Selection for Multi-task Learnin... |
126
Voted
ICCV
2009
IEEE
15 years 7 months ago
2009
IEEE
A new learning strategy for object detection is presented.
The proposed scheme forgoes the need to train a collection
of detectors dedicated to homogeneous families of poses,
an...
158
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ML
2008
ACM
15 years 1 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
105
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
116
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
114
Voted
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...