160
Voted
BLISS
15 years 10 months ago
2008 IEEE 
Counting (identical) objects in images is a simple yet fundamental recognition task that requires exhaustive human effort. Automation of this task would reduce the human load sign...
166
Voted
ICML
16 years 4 months ago
2008 IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
171
Voted
ML
15 years 3 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...
164
Voted
ICMLA
15 years 5 months ago
2008
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
|
Machine Learning