Support vector machines (SVMs) have been recently proposed as a new learning network
for bipartite pattern recognition. In this paper, SVMs incorporated with a binary tree …

Background Detection of characteristic waves, such as QRS complex, P wave and T wave,
is one of the essential tasks in the cardiovascular arrhythmia recognition from …

Clinically obtained electrocardiographic (ECG) signals are often contaminated with different
types of noise and baseline drifting commonly occurs. In order to facilitate automated ECG …

In this paper, we propose an approach to learn hierarchical features for visual object
tracking. First, we offline learn features robust to diverse motion patterns from auxiliary video …

In order to alleviate the problem of local convergence of the usual EM algorithm, a split-and-merge
operation is introduced into the EM algorithm for Gaussian mixtures. The split-and-…

In this paper, we study the challenging problem of multi-object tracking in a complex scene
captured by a single camera. Different from the existing tracklet association-based tracking …

This paper presents a novel introduction of online target-specific metric learning in track
fragment (tracklet) association by network flow optimization for long-term multi-person tracking. …

In this paper, we present a novel method based on online target-specific metric learning
and coherent dynamics estimation for tracklet (track fragment) association by network flow …

A method, the nearest feature line (NFL) method, is used in image classification and
retrieval and its performance is evaluated and compared with other methods by extensive …

This paper is a contribution to the methodology of fully Bayesian inference in a multivariate
Gaussian mixture model using the reversible jump Markov chain Monte Carlo algorithm. To …