Long-tail learning via logit adjustment
Real-world classification problems typically exhibit an imbalanced or long-tailed label
distribution, wherein many labels are associated with only a few samples. This poses a …
distribution, wherein many labels are associated with only a few samples. This poses a …
Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions
Background The life sciences, biomedicine and health care are increasingly turning into a
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
Prediction and functional analysis of native disorder in proteins from the three kingdoms of life
An automatic method for recognizing natively disordered regions from amino acid sequence
is described and benchmarked against predictors that were assessed at the latest critical …
is described and benchmarked against predictors that were assessed at the latest critical …
[BOOK][B] Learning to classify text using support vector machines
T Joachims - 2012 - books.google.com
Text Classification, or the task of automatically assigning semantic categories to natural
language text, has become one of the key methods for organizing online information. Since …
language text, has become one of the key methods for organizing online information. Since …
Support vector tracking
S Avidan - IEEE transactions on pattern analysis and machine …, 2004 - ieeexplore.ieee.org
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into
an optic-flow-based tracker. Instead of minimizing an intensity difference function between …
an optic-flow-based tracker. Instead of minimizing an intensity difference function between …
[PDF][PDF] Detecting spammers on twitter
With millions of users tweeting around the world, real time search systems and different
types of mining tools are emerging to allow people tracking the repercussion of events and …
types of mining tools are emerging to allow people tracking the repercussion of events and …
A survey of face recognition techniques
Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …
computer vision, and as such has received a great deal of attention over the last few years …
Retinal blood vessel segmentation using line operators and support vector classification
E Ricci, R Perfetti - IEEE transactions on medical imaging, 2007 - ieeexplore.ieee.org
In the framework of computer-aided diagnosis of eye diseases, retinal vessel segmentation
based on line operators is proposed. A line detector, previously used in mammography, is …
based on line operators is proposed. A line detector, previously used in mammography, is …
Building text classifiers using positive and unlabeled examples
We study the problem of building text classifiers using positive and unlabeled examples. The
key feature of this problem is that there is no negative example for learning. Recently, a few …
key feature of this problem is that there is no negative example for learning. Recently, a few …
Exploring classification equilibrium in long-tailed object detection
The conventional detectors tend to make imbalanced classification and suffer performance
drop, when the distribution of the training data is severely skewed. In this paper, we propose …
drop, when the distribution of the training data is severely skewed. In this paper, we propose …