Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
In this paper, we propose a forward spotting scheme that executes gesture segmentation and recognition simultaneously by detecting start point. By using competitive differential o...
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
Automatically building high-level segments to structure information in video documents is a challenging task. This paper presents a method based on the cophenetic criterion, a dis...